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How These Young MDs Impressed the Hell Out of Their Bosses
Safe to say that anyone undertaking the physician journey does so with intense motivation and book smarts. Still, it can be incredibly hard to stand out. Everyone’s a go-getter, but what’s the X factor?
Here’s what they said ...
Lesson #1: Never Be Scared to Ask
Brien Barnewolt, MD, chairman and chief of the Department of Emergency Medicine at Tufts Medical Center, was very much surprised when a resident named Scott G. Weiner did something unexpected: Go after a job in the fall of his junior year residency instead of following the typical senior year trajectory.
“It’s very unusual for a trainee to apply for a job virtually a year ahead of schedule. But he knew what he wanted,” said Dr. Barnewolt. “I’d never had anybody come to me in that same scenario, and I’ve been doing this a long time.”
Under normal circumstances it would’ve been easy for Dr. Barnewolt to say no. But the unexpected request made him and his colleagues take a closer look, and they were impressed with Dr. Weiner’s skills. That, paired with his ambition and demeanor, compelled them to offer him an early job. But there’s more.
As the next year approached, Dr. Weiner explained he had an opportunity to work in emergency medicine in Tuscany and asked if he could take a 1-year delayed start for the position he applied a year early for.
The department held his position, and upon his return, Dr. Weiner made a lasting impact at Tufts before eventually moving on. “He outgrew us, which is nice to see,” Dr. Barnewolt said. (Dr. Weiner is currently McGraw Distinguished Chair in Emergency Medicine at Brigham and Women’s Hospital and associate professor at Harvard Medical School.)
Bottom line: Why did Dr. Barnewolt and his colleagues do so much to accommodate a young candidate? Yes, Dr. Weiner was talented, but he was also up-front about his ambitions from the get-go. Dr. Barnewolt said that kind of initiative can only be looked at positively.
“My advice would be, if you see an opportunity or a potential place where you might want to work, put out those feelers, start those conversations,” he said. “It’s not too early, especially in certain specialties, where the job market is very tight. Then, when circumstances change, be open about it and have that conversation. The worst that somebody can say is no, so it never hurts to be honest and open about where you want to go and what you want to be.”
Lesson #2: Chase Your Passion ‘Relentlessly’
Vance G. Fowler, MD, MHS, an infectious disease specialist at Duke University School of Medicine, runs a laboratory that researches methicillin-resistant Staphylococcus aureus (MRSA). Over the years, he’s mentored many doctors but understands the ambitions of young trainees don’t always align with the little free time that they have. “Many of them drop away when you give them a [side] project,” he said.
So when Tori Kinamon asked him to work on an MRSA project — in her first year — he gave her one that focused on researching vertebral osteomyelitis, a bone infection that can coincide with S aureus. What Dr. Fowler didn’t know: Kinamon (now MD) had been a competitive gymnast at Brown and battled her own life-threatening infection with MRSA.
“To my absolute astonishment, not only did she stick to it, but she was able to compile a presentation on the science and gave an oral presentation within a year of walking in the door,” said Dr. Fowler.
She went on to lead an initiative between the National Institutes of Health and US Food and Drug Administration to create endpoints for clinical drug trials, all of which occurred before starting her residency, which she’s about to embark upon.
Dr. Kinamon’s a good example, he said, of what happens when you add genuine passion to book smarts. Those who do always stand out because you can’t fake that. “Find your passion, and then chase it down relentlessly,” he said. “Once you’ve found your passion, things get easy because it stops being work and it starts being something else.”
If you haven’t identified a focus area, Dr. Fowler said to “be agnostic and observant. Keep your eyes open and your options open because you may surprise yourself. It may turn out that you end up liking something a whole lot more than you thought you did.”
Lesson #3: When You Say You’ve Always Wanted to Do Something, Do Something
As the chief of pulmonary and critical care medicine at the Northwestern Medicine Canning Thoracic Institute, Scott Budinger, MD, often hears lip service from doctors who want to put their skills to use in their local communities. One of his students actually did it.
Justin Fiala, MD, a pulmonary, critical care, and sleep specialist at Northwestern Medicine, joined Northwestern as a pulmonary fellow with a big interest in addressing health equity issues.
Dr. Fiala began volunteering with CommunityHealth during his fellowship and saw that many patients of the free Chicago-area clinic needed help with sleep disorders. He launched the organization’s first sleep clinic and its Patient-Centered Apnea Protocols Initiative.
“He developed a plan with some of the partners of the sleep apnea equipment to do home sleep testing for these patients that’s free of cost,” said Dr. Budinger.
Dr. Fiala goes in on Saturdays and runs a free clinic conducting sleep studies for patients and outfits them with devices that they need to improve their conditions, said Dr. Budinger.
“And these patients are the severest of the severe patients,” he said. “These are people that have severe sleep apnea that are driving around the roads, oftentimes don’t have insurance because they’re also precluded from having auto insurance. So, this is really something that not just benefits these patients but benefits our whole community.”
The fact that Dr. Fiala followed through on something that all doctors aspire to do — and in the middle of a very busy training program — is something that Dr. Budinger said makes him stand out in a big way.
“If you talk to any of our trainees or young faculty, everybody’s interested in addressing the issue of health disparities,” said Dr. Budinger. “Justin looked at that and said, ‘Well, you know, I’m not interested in talking about it. What can I do about this problem? And how can I actually get boots on the ground and help?’ That requires a big activation energy that many people don’t have.”
Lesson #4: Be a People-Person and a Patient-Person
When hiring employees at American Family Care in Portland, Oregon, Andrew Miller, MD, director of provider training, is always on the lookout for young MDs with emotional intelligence and a good bedside manner. He has been recently blown away, however, by a young physician’s assistant named Joseph Van Bindsbergen, PA-C, who was described as “all-around wonderful” during his reference check.
“Having less than 6 months of experience out of school, he is our highest ranked provider, whether it’s a nurse practitioner, PA, or doctor, in terms of patient satisfaction,” said Dr. Miller. The young PA has an “unprecedented perfect score” on his NPS rating.
Why? Patients said they’ve never felt as heard as they felt with Van Bindsbergen.
“That’s the thing I think that the up-and-coming providers should be focusing on is making your patients feel heard,” explained Dr. Miller. Van Bindsbergen is great at building rapport with a patient, whether they are 6 or 96. “He doesn’t just ask about sore throat symptoms. He asks, ‘what is the impact on your life of the sore throat? How does it affect your family or your work? What do you think this could be besides just strep? What are your concerns?’ ”
Dr. Miller said the magic of Van Bindsbergen is that he has an innate ability to look at patients “not just as a diagnosis but as a person, which they love.”
Lesson #5: Remember to Make That Difference With Each Patient
Doctors are used to swooping in and seeing a patient, ordering further testing if needed, and then moving on to the next patient. But one young intern at the start of his medical career broke this mold by giving a very anxious patient some much-needed support.
“There was a resident who was working overnight, and this poor young woman came in who had a new diagnosis of an advanced illness and a lot of anxiety around her condition, the newness of it, and the impact this is going to have on her family and her life,” said Elizabeth Horn Prsic, MD, assistant professor at Yale School of Medicine and firm chief for medical oncology and the director of Adult Inpatient Palliative Care.
Dr. Prsic found out the next morning that this trainee accompanied the patient to the MRI and held her hand as much as he was allowed to throughout the entire experience. “I was like, ‘wait you went down with her to radiology?’ And he’s like, ‘Yes, I was there the whole time,’ ” she recalled.
This gesture not only helped the patient feel calmer after receiving a potentially life-altering diagnosis but also helped ensure the test results were as clear as possible.
“If the study is not done well and a patient is moving or uncomfortable, it has to be stopped early or paused,” said Dr. Prsic. “Then the study is not very useful. In situations like these, medical decisions may be made based on imperfect data. The fact that we had this full complete good quality scan helped us get the care that she needed in a much timelier manner to help her and to move along the care that she that was medically appropriate for her.”
Dr. Prsic got emotional reflecting on the experience. Working at Yale, she saw a ton of intelligent doctors come through the ranks. But this gesture, she said, should serve as a reminder that “you don’t need to be the smartest person in the room to just be there for a patient. It was pure empathic presence and human connection. It gave me hope in the next generation of physicians.”
A version of this article appeared on Medscape.com.
Safe to say that anyone undertaking the physician journey does so with intense motivation and book smarts. Still, it can be incredibly hard to stand out. Everyone’s a go-getter, but what’s the X factor?
Here’s what they said ...
Lesson #1: Never Be Scared to Ask
Brien Barnewolt, MD, chairman and chief of the Department of Emergency Medicine at Tufts Medical Center, was very much surprised when a resident named Scott G. Weiner did something unexpected: Go after a job in the fall of his junior year residency instead of following the typical senior year trajectory.
“It’s very unusual for a trainee to apply for a job virtually a year ahead of schedule. But he knew what he wanted,” said Dr. Barnewolt. “I’d never had anybody come to me in that same scenario, and I’ve been doing this a long time.”
Under normal circumstances it would’ve been easy for Dr. Barnewolt to say no. But the unexpected request made him and his colleagues take a closer look, and they were impressed with Dr. Weiner’s skills. That, paired with his ambition and demeanor, compelled them to offer him an early job. But there’s more.
As the next year approached, Dr. Weiner explained he had an opportunity to work in emergency medicine in Tuscany and asked if he could take a 1-year delayed start for the position he applied a year early for.
The department held his position, and upon his return, Dr. Weiner made a lasting impact at Tufts before eventually moving on. “He outgrew us, which is nice to see,” Dr. Barnewolt said. (Dr. Weiner is currently McGraw Distinguished Chair in Emergency Medicine at Brigham and Women’s Hospital and associate professor at Harvard Medical School.)
Bottom line: Why did Dr. Barnewolt and his colleagues do so much to accommodate a young candidate? Yes, Dr. Weiner was talented, but he was also up-front about his ambitions from the get-go. Dr. Barnewolt said that kind of initiative can only be looked at positively.
“My advice would be, if you see an opportunity or a potential place where you might want to work, put out those feelers, start those conversations,” he said. “It’s not too early, especially in certain specialties, where the job market is very tight. Then, when circumstances change, be open about it and have that conversation. The worst that somebody can say is no, so it never hurts to be honest and open about where you want to go and what you want to be.”
Lesson #2: Chase Your Passion ‘Relentlessly’
Vance G. Fowler, MD, MHS, an infectious disease specialist at Duke University School of Medicine, runs a laboratory that researches methicillin-resistant Staphylococcus aureus (MRSA). Over the years, he’s mentored many doctors but understands the ambitions of young trainees don’t always align with the little free time that they have. “Many of them drop away when you give them a [side] project,” he said.
So when Tori Kinamon asked him to work on an MRSA project — in her first year — he gave her one that focused on researching vertebral osteomyelitis, a bone infection that can coincide with S aureus. What Dr. Fowler didn’t know: Kinamon (now MD) had been a competitive gymnast at Brown and battled her own life-threatening infection with MRSA.
“To my absolute astonishment, not only did she stick to it, but she was able to compile a presentation on the science and gave an oral presentation within a year of walking in the door,” said Dr. Fowler.
She went on to lead an initiative between the National Institutes of Health and US Food and Drug Administration to create endpoints for clinical drug trials, all of which occurred before starting her residency, which she’s about to embark upon.
Dr. Kinamon’s a good example, he said, of what happens when you add genuine passion to book smarts. Those who do always stand out because you can’t fake that. “Find your passion, and then chase it down relentlessly,” he said. “Once you’ve found your passion, things get easy because it stops being work and it starts being something else.”
If you haven’t identified a focus area, Dr. Fowler said to “be agnostic and observant. Keep your eyes open and your options open because you may surprise yourself. It may turn out that you end up liking something a whole lot more than you thought you did.”
Lesson #3: When You Say You’ve Always Wanted to Do Something, Do Something
As the chief of pulmonary and critical care medicine at the Northwestern Medicine Canning Thoracic Institute, Scott Budinger, MD, often hears lip service from doctors who want to put their skills to use in their local communities. One of his students actually did it.
Justin Fiala, MD, a pulmonary, critical care, and sleep specialist at Northwestern Medicine, joined Northwestern as a pulmonary fellow with a big interest in addressing health equity issues.
Dr. Fiala began volunteering with CommunityHealth during his fellowship and saw that many patients of the free Chicago-area clinic needed help with sleep disorders. He launched the organization’s first sleep clinic and its Patient-Centered Apnea Protocols Initiative.
“He developed a plan with some of the partners of the sleep apnea equipment to do home sleep testing for these patients that’s free of cost,” said Dr. Budinger.
Dr. Fiala goes in on Saturdays and runs a free clinic conducting sleep studies for patients and outfits them with devices that they need to improve their conditions, said Dr. Budinger.
“And these patients are the severest of the severe patients,” he said. “These are people that have severe sleep apnea that are driving around the roads, oftentimes don’t have insurance because they’re also precluded from having auto insurance. So, this is really something that not just benefits these patients but benefits our whole community.”
The fact that Dr. Fiala followed through on something that all doctors aspire to do — and in the middle of a very busy training program — is something that Dr. Budinger said makes him stand out in a big way.
“If you talk to any of our trainees or young faculty, everybody’s interested in addressing the issue of health disparities,” said Dr. Budinger. “Justin looked at that and said, ‘Well, you know, I’m not interested in talking about it. What can I do about this problem? And how can I actually get boots on the ground and help?’ That requires a big activation energy that many people don’t have.”
Lesson #4: Be a People-Person and a Patient-Person
When hiring employees at American Family Care in Portland, Oregon, Andrew Miller, MD, director of provider training, is always on the lookout for young MDs with emotional intelligence and a good bedside manner. He has been recently blown away, however, by a young physician’s assistant named Joseph Van Bindsbergen, PA-C, who was described as “all-around wonderful” during his reference check.
“Having less than 6 months of experience out of school, he is our highest ranked provider, whether it’s a nurse practitioner, PA, or doctor, in terms of patient satisfaction,” said Dr. Miller. The young PA has an “unprecedented perfect score” on his NPS rating.
Why? Patients said they’ve never felt as heard as they felt with Van Bindsbergen.
“That’s the thing I think that the up-and-coming providers should be focusing on is making your patients feel heard,” explained Dr. Miller. Van Bindsbergen is great at building rapport with a patient, whether they are 6 or 96. “He doesn’t just ask about sore throat symptoms. He asks, ‘what is the impact on your life of the sore throat? How does it affect your family or your work? What do you think this could be besides just strep? What are your concerns?’ ”
Dr. Miller said the magic of Van Bindsbergen is that he has an innate ability to look at patients “not just as a diagnosis but as a person, which they love.”
Lesson #5: Remember to Make That Difference With Each Patient
Doctors are used to swooping in and seeing a patient, ordering further testing if needed, and then moving on to the next patient. But one young intern at the start of his medical career broke this mold by giving a very anxious patient some much-needed support.
“There was a resident who was working overnight, and this poor young woman came in who had a new diagnosis of an advanced illness and a lot of anxiety around her condition, the newness of it, and the impact this is going to have on her family and her life,” said Elizabeth Horn Prsic, MD, assistant professor at Yale School of Medicine and firm chief for medical oncology and the director of Adult Inpatient Palliative Care.
Dr. Prsic found out the next morning that this trainee accompanied the patient to the MRI and held her hand as much as he was allowed to throughout the entire experience. “I was like, ‘wait you went down with her to radiology?’ And he’s like, ‘Yes, I was there the whole time,’ ” she recalled.
This gesture not only helped the patient feel calmer after receiving a potentially life-altering diagnosis but also helped ensure the test results were as clear as possible.
“If the study is not done well and a patient is moving or uncomfortable, it has to be stopped early or paused,” said Dr. Prsic. “Then the study is not very useful. In situations like these, medical decisions may be made based on imperfect data. The fact that we had this full complete good quality scan helped us get the care that she needed in a much timelier manner to help her and to move along the care that she that was medically appropriate for her.”
Dr. Prsic got emotional reflecting on the experience. Working at Yale, she saw a ton of intelligent doctors come through the ranks. But this gesture, she said, should serve as a reminder that “you don’t need to be the smartest person in the room to just be there for a patient. It was pure empathic presence and human connection. It gave me hope in the next generation of physicians.”
A version of this article appeared on Medscape.com.
Safe to say that anyone undertaking the physician journey does so with intense motivation and book smarts. Still, it can be incredibly hard to stand out. Everyone’s a go-getter, but what’s the X factor?
Here’s what they said ...
Lesson #1: Never Be Scared to Ask
Brien Barnewolt, MD, chairman and chief of the Department of Emergency Medicine at Tufts Medical Center, was very much surprised when a resident named Scott G. Weiner did something unexpected: Go after a job in the fall of his junior year residency instead of following the typical senior year trajectory.
“It’s very unusual for a trainee to apply for a job virtually a year ahead of schedule. But he knew what he wanted,” said Dr. Barnewolt. “I’d never had anybody come to me in that same scenario, and I’ve been doing this a long time.”
Under normal circumstances it would’ve been easy for Dr. Barnewolt to say no. But the unexpected request made him and his colleagues take a closer look, and they were impressed with Dr. Weiner’s skills. That, paired with his ambition and demeanor, compelled them to offer him an early job. But there’s more.
As the next year approached, Dr. Weiner explained he had an opportunity to work in emergency medicine in Tuscany and asked if he could take a 1-year delayed start for the position he applied a year early for.
The department held his position, and upon his return, Dr. Weiner made a lasting impact at Tufts before eventually moving on. “He outgrew us, which is nice to see,” Dr. Barnewolt said. (Dr. Weiner is currently McGraw Distinguished Chair in Emergency Medicine at Brigham and Women’s Hospital and associate professor at Harvard Medical School.)
Bottom line: Why did Dr. Barnewolt and his colleagues do so much to accommodate a young candidate? Yes, Dr. Weiner was talented, but he was also up-front about his ambitions from the get-go. Dr. Barnewolt said that kind of initiative can only be looked at positively.
“My advice would be, if you see an opportunity or a potential place where you might want to work, put out those feelers, start those conversations,” he said. “It’s not too early, especially in certain specialties, where the job market is very tight. Then, when circumstances change, be open about it and have that conversation. The worst that somebody can say is no, so it never hurts to be honest and open about where you want to go and what you want to be.”
Lesson #2: Chase Your Passion ‘Relentlessly’
Vance G. Fowler, MD, MHS, an infectious disease specialist at Duke University School of Medicine, runs a laboratory that researches methicillin-resistant Staphylococcus aureus (MRSA). Over the years, he’s mentored many doctors but understands the ambitions of young trainees don’t always align with the little free time that they have. “Many of them drop away when you give them a [side] project,” he said.
So when Tori Kinamon asked him to work on an MRSA project — in her first year — he gave her one that focused on researching vertebral osteomyelitis, a bone infection that can coincide with S aureus. What Dr. Fowler didn’t know: Kinamon (now MD) had been a competitive gymnast at Brown and battled her own life-threatening infection with MRSA.
“To my absolute astonishment, not only did she stick to it, but she was able to compile a presentation on the science and gave an oral presentation within a year of walking in the door,” said Dr. Fowler.
She went on to lead an initiative between the National Institutes of Health and US Food and Drug Administration to create endpoints for clinical drug trials, all of which occurred before starting her residency, which she’s about to embark upon.
Dr. Kinamon’s a good example, he said, of what happens when you add genuine passion to book smarts. Those who do always stand out because you can’t fake that. “Find your passion, and then chase it down relentlessly,” he said. “Once you’ve found your passion, things get easy because it stops being work and it starts being something else.”
If you haven’t identified a focus area, Dr. Fowler said to “be agnostic and observant. Keep your eyes open and your options open because you may surprise yourself. It may turn out that you end up liking something a whole lot more than you thought you did.”
Lesson #3: When You Say You’ve Always Wanted to Do Something, Do Something
As the chief of pulmonary and critical care medicine at the Northwestern Medicine Canning Thoracic Institute, Scott Budinger, MD, often hears lip service from doctors who want to put their skills to use in their local communities. One of his students actually did it.
Justin Fiala, MD, a pulmonary, critical care, and sleep specialist at Northwestern Medicine, joined Northwestern as a pulmonary fellow with a big interest in addressing health equity issues.
Dr. Fiala began volunteering with CommunityHealth during his fellowship and saw that many patients of the free Chicago-area clinic needed help with sleep disorders. He launched the organization’s first sleep clinic and its Patient-Centered Apnea Protocols Initiative.
“He developed a plan with some of the partners of the sleep apnea equipment to do home sleep testing for these patients that’s free of cost,” said Dr. Budinger.
Dr. Fiala goes in on Saturdays and runs a free clinic conducting sleep studies for patients and outfits them with devices that they need to improve their conditions, said Dr. Budinger.
“And these patients are the severest of the severe patients,” he said. “These are people that have severe sleep apnea that are driving around the roads, oftentimes don’t have insurance because they’re also precluded from having auto insurance. So, this is really something that not just benefits these patients but benefits our whole community.”
The fact that Dr. Fiala followed through on something that all doctors aspire to do — and in the middle of a very busy training program — is something that Dr. Budinger said makes him stand out in a big way.
“If you talk to any of our trainees or young faculty, everybody’s interested in addressing the issue of health disparities,” said Dr. Budinger. “Justin looked at that and said, ‘Well, you know, I’m not interested in talking about it. What can I do about this problem? And how can I actually get boots on the ground and help?’ That requires a big activation energy that many people don’t have.”
Lesson #4: Be a People-Person and a Patient-Person
When hiring employees at American Family Care in Portland, Oregon, Andrew Miller, MD, director of provider training, is always on the lookout for young MDs with emotional intelligence and a good bedside manner. He has been recently blown away, however, by a young physician’s assistant named Joseph Van Bindsbergen, PA-C, who was described as “all-around wonderful” during his reference check.
“Having less than 6 months of experience out of school, he is our highest ranked provider, whether it’s a nurse practitioner, PA, or doctor, in terms of patient satisfaction,” said Dr. Miller. The young PA has an “unprecedented perfect score” on his NPS rating.
Why? Patients said they’ve never felt as heard as they felt with Van Bindsbergen.
“That’s the thing I think that the up-and-coming providers should be focusing on is making your patients feel heard,” explained Dr. Miller. Van Bindsbergen is great at building rapport with a patient, whether they are 6 or 96. “He doesn’t just ask about sore throat symptoms. He asks, ‘what is the impact on your life of the sore throat? How does it affect your family or your work? What do you think this could be besides just strep? What are your concerns?’ ”
Dr. Miller said the magic of Van Bindsbergen is that he has an innate ability to look at patients “not just as a diagnosis but as a person, which they love.”
Lesson #5: Remember to Make That Difference With Each Patient
Doctors are used to swooping in and seeing a patient, ordering further testing if needed, and then moving on to the next patient. But one young intern at the start of his medical career broke this mold by giving a very anxious patient some much-needed support.
“There was a resident who was working overnight, and this poor young woman came in who had a new diagnosis of an advanced illness and a lot of anxiety around her condition, the newness of it, and the impact this is going to have on her family and her life,” said Elizabeth Horn Prsic, MD, assistant professor at Yale School of Medicine and firm chief for medical oncology and the director of Adult Inpatient Palliative Care.
Dr. Prsic found out the next morning that this trainee accompanied the patient to the MRI and held her hand as much as he was allowed to throughout the entire experience. “I was like, ‘wait you went down with her to radiology?’ And he’s like, ‘Yes, I was there the whole time,’ ” she recalled.
This gesture not only helped the patient feel calmer after receiving a potentially life-altering diagnosis but also helped ensure the test results were as clear as possible.
“If the study is not done well and a patient is moving or uncomfortable, it has to be stopped early or paused,” said Dr. Prsic. “Then the study is not very useful. In situations like these, medical decisions may be made based on imperfect data. The fact that we had this full complete good quality scan helped us get the care that she needed in a much timelier manner to help her and to move along the care that she that was medically appropriate for her.”
Dr. Prsic got emotional reflecting on the experience. Working at Yale, she saw a ton of intelligent doctors come through the ranks. But this gesture, she said, should serve as a reminder that “you don’t need to be the smartest person in the room to just be there for a patient. It was pure empathic presence and human connection. It gave me hope in the next generation of physicians.”
A version of this article appeared on Medscape.com.
Eight wealth tips just for doctors
The average physician makes $352,000, and some earn well into the $500,000s. So, doctors don’t have to worry about money, right?
You know the answer to that.
One thing all physicians have in common about money, says James M. Dahle, MD, FACEP, founder of The White Coat Investor, is that they don’t receive any training in business, personal finance, or investing throughout their schooling or careers unless they seek it out. This leaves many unprepared to make the best investing and money-saving decisions, while others get too frustrated about their lack of knowledge to even dip their toe into the investing pool.
Exhibit A: Four out of 10 physicians have a net worth below $1 million, according to the Medscape Physician Wealth & Debt Report 2023. Elizabeth Chiang, MD, PhD, an oculoplastic surgeon and a physician money coach at Grow Your Wealthy Mindset, notes that many of those doctors are over age 65, “which means they essentially can’t retire.”
And that’s just one pain point.
Physicians have money concerns specific to their profession and background. Luckily, some fellow doctors also serve as financial and wealth advisors just for other doctors.
Blind Spot #1
The early lean years skew doctors’ money outlook. “We have an extended training period, which commonly consists of taking on a large amount of debt, followed by 3 to 8 years of being paid a modest salary, and then finally a large boost in income,” explains Dr. Chiang. This can lay a shaky foundation for the earning years to come, and as a result, a lot of doctors just don’t think about money in healthy ways. Once their incomes increase, physicians may be surprised, for example, that making a multiple six-figure salary means paying six figures in taxes.
The Fix
Treat financial health like physical health. That means money cannot be a taboo subject. “The misguided mindset is that we didn’t become physicians to make money, we did it to help people,” explains Jordan Frey, MD, creator of the blog, The Prudent Plastic Surgeon.
Dr. Frey acknowledges that the desire to help is certainly true. But the result is a false idea that “to think about our personal finances makes us a worse doctor.”
Blind Spot #2
Because doctors know a lot about one thing (medicine), they might assume they know a lot about everything (such as investing). “Totally different fields with a different language and different way to think about it,” Dahle explains. This overconfidence could lead to some negligent or risky financial decisions.
The Fix
Educate yourself. There are several books on personal finance and investing written by physicians for physicians. Dr. Chiang recommends The Physician Philosopher’s Guide to Personal Finance, by James Turner, MD; Financial Freedom Rx, by Chirag Shah, MD, and Jayanth Sridhar, MD; and The Physician’s Guide to Finance, by Nicholas Christian and Amanda Christian, MD. There are also podcasts, blogs, and courses to help educate doctors on finance, such as the Fire Your Financial Advisor course by The White Coat Investor.
Blind Spot #3
Undersaving. Retirement saving is one thing, but 24% of doctors say they don’t even put money away in a taxable savings account, according to the Wealth & Debt Report.
Cobin Soelberg, MD, JD, a board-certified anesthesiologist and founder and principal advisor with Greeley Wealth Management, is the treasurer of his anesthesiology group. “I get to see every month how much people are saving, and even on an anesthesiologist salary, where everyone’s making about $400,000 a year, a lot of people are not saving anything, which is crazy.”
Undersaving can be both a time issue and a mindset one.
Time: Doctors often start investing in their retirement accounts later than the average professional, says Dr. Chiang. “A lot of physicians will max out their 401k or 403b,” she explains. “But if you’re putting in $20,000 a year and only starting when you’re in your early 30s, that’s not enough to get you to retirement.”
Mindset: Doctors also see people of all ages who are sick, dying, and injured. “They all know someone who worked hard and saved and then dropped dead at 55,” explains Dr. Dahle. This, he says, can lead to a bit of a “you only live once” attitude that prioritizes spending over saving.
The Fix
Shoot for 20%. If you can’t save 20% of your gross now, strive to get to that point. Think of it as telling a patient they have to change their behavior or trouble will come - not if, but when. “Develop a written investing plan and then stick with it through thick and thin,” says Dr. Dahle. “Once you have a reasonable plan, all you have to do is fund it adequately by saving 20% of your gross income, and a doctor will easily retire as a multimillionaire.”
Blind Spot #4
Bad investment strategies. Thirty-six percent of doctors experience their largest financial losses from lousy investments, according to the Wealth & Debt Report. Meanwhile, 17% of PCPs and 12% of specialists say they haven’t made any investments at all. That’s a terrible mix of doing the wrong thing and doing a worse thing.
The Fix
Don’t overthink investing, but don’t underthink it either. “As high-income earners, doctors just don’t need to take this high level of risk to reach their financial goals,” Dr. Frey says. A good investment plan doesn’t require you to time the stock market or predict individual stock winners. Consider what Vanguard founder Jack Bogle once said about investing: “Be bored by the process but elated by the outcome.”
Dr. Frey suggests going super-simple: index funds. Ignore investing strategies with actively managed mutual funds or individual stocks, as well as risky alternative investments such as cryptocurrency and angel investments. Everyone assumes doctors have money to burn, and they will push sketchy investment ideas at them. Avoid.
Blind Spot #5
Not taking debt seriously enough. The average medical student debt is $250,000 and can exceed $500,000, says Dr. Soelberg. Many doctors spend the first 10 to 20 years of their careers paying this off. Today’s graduates are paying more than 7% on their loans.
And it’s not just student debt: 39% of physicians carry five or more credit cards, and 34% have mortgages larger than $300,000 (with half of those are more than than $500K), per the Wealth & Debt Report.
The Fix
Treat debt like cancer. It’s a lethal enemy you can’t get rid of right away, but a steady, aggressive, long-term attack will have the best results. Dr. Soelberg suggests allocating the most you can afford per month, whether that’s $1000 or $5000, toward debt. Raise the amount as your income grows. Do the same with your 401k or retirement plan. Whatever is left, you can spend. Five to 10 years later, you will realize, “Wow. I’m debt free.”
Blind Spot #6
Not putting in the work to improve your situation. Seventy-one percent of doctors admit they haven’t done anything to reduce major expenses, according to the Wealth & Debt Report. Are you leaving major money on the table?
The Fix
Audit yourself in major areas like housing and taxes. While the average professional may need to put 10% to 20% down on a home, physicians can qualify for physician mortgage loans and can often put down 3% or less, says Dr. Chiang. If you can afford the higher mortgage payment, excess savings earmarked for a larger down payment can be put toward debt or invested.
Another trick, if you’re able, is to seek an area that is less in demand at a higher salary. “Physicians in places like New York City or San Francisco tend to make less than physicians in the Midwest or the South,” Dr. Chiang explains. A colleague of hers moved to rural Pennsylvania, where he made a high salary and had a low cost of living for 3½ years, paid off his student debt, and then relocated to an area where he wanted to live long term.
As for taxes, become familiar with tax law. Research things like, “What is considered a business expense for doctors?” says Brett Mollard, MD, a diagnostic radiologist who provides financial advice to younger physicians. “What will your estimated total tax burden be at the end of the year? Will you need to make extra payments to prevent owing a large sum of money from underpaying or to avoid tax penalties?”
Blind Spot #7
Living like a rock star on a doctor’s income. Getting caught up in trying to live the same lifestyle as your colleagues is a classic bear trap. “Sitting in the doctor’s lounge, it’s so crazy,” Dr. Soelberg says. He describes conversations like, “‘Where did you go on your trip?’ ‘What new toys are you buying?’” There’s pressure to live up to an image of what a doctor’s life is supposed to look like before you’ve sorted the basic things like paying off debt.
The Fix
Live like a resident even if you haven’t been one for years, at least until you’re in a better financial position. “You’re already used to living a life of lower means, and you’re an expert when it comes to delaying gratification,” says Dr. Mollard. “Do it a little longer.” Live frugally and spend only on things that bring you joy. “A lot of physicians are trying to be really rich in all areas of their life instead of the ones that actually matter to them,” Dr. Soelberg says. Identify what’s important to you and only splurge on that.
Blind Spot #8
Never asking for help. The right financial planner can provide expert help. Emphasis on right. “Doctors can be very trusting of other professionals, even when they should not be,” says Dr. Dahle. He notes that in financial services, many people masquerade as knowledgeable advisors who are really just salespeople. While legitimate financial advisors strive to make their clients money, they are also ultimately out to line their pockets and love to work with physician salaries. Thus, doctors can end up working with financial planners that don’t specifically understand their situations or end up taking too much from their clients.
The Fix
Find a planner who specializes in, or at least understands, physicians. Ask them how they make money, says Dr. Chiang. If someone hesitates to tell you about their fee structure or if it sounds like a lot, shop around and ask colleagues for recommendations.
“Ultimately, the path to wealth is to create and grow the margin between what you make and what you spend,” says Dr. Frey. Throw some investing into the mix and physicians can set themselves up on a path for a stress-free financial life.
A version of this article appeared on Medscape.com.
The average physician makes $352,000, and some earn well into the $500,000s. So, doctors don’t have to worry about money, right?
You know the answer to that.
One thing all physicians have in common about money, says James M. Dahle, MD, FACEP, founder of The White Coat Investor, is that they don’t receive any training in business, personal finance, or investing throughout their schooling or careers unless they seek it out. This leaves many unprepared to make the best investing and money-saving decisions, while others get too frustrated about their lack of knowledge to even dip their toe into the investing pool.
Exhibit A: Four out of 10 physicians have a net worth below $1 million, according to the Medscape Physician Wealth & Debt Report 2023. Elizabeth Chiang, MD, PhD, an oculoplastic surgeon and a physician money coach at Grow Your Wealthy Mindset, notes that many of those doctors are over age 65, “which means they essentially can’t retire.”
And that’s just one pain point.
Physicians have money concerns specific to their profession and background. Luckily, some fellow doctors also serve as financial and wealth advisors just for other doctors.
Blind Spot #1
The early lean years skew doctors’ money outlook. “We have an extended training period, which commonly consists of taking on a large amount of debt, followed by 3 to 8 years of being paid a modest salary, and then finally a large boost in income,” explains Dr. Chiang. This can lay a shaky foundation for the earning years to come, and as a result, a lot of doctors just don’t think about money in healthy ways. Once their incomes increase, physicians may be surprised, for example, that making a multiple six-figure salary means paying six figures in taxes.
The Fix
Treat financial health like physical health. That means money cannot be a taboo subject. “The misguided mindset is that we didn’t become physicians to make money, we did it to help people,” explains Jordan Frey, MD, creator of the blog, The Prudent Plastic Surgeon.
Dr. Frey acknowledges that the desire to help is certainly true. But the result is a false idea that “to think about our personal finances makes us a worse doctor.”
Blind Spot #2
Because doctors know a lot about one thing (medicine), they might assume they know a lot about everything (such as investing). “Totally different fields with a different language and different way to think about it,” Dahle explains. This overconfidence could lead to some negligent or risky financial decisions.
The Fix
Educate yourself. There are several books on personal finance and investing written by physicians for physicians. Dr. Chiang recommends The Physician Philosopher’s Guide to Personal Finance, by James Turner, MD; Financial Freedom Rx, by Chirag Shah, MD, and Jayanth Sridhar, MD; and The Physician’s Guide to Finance, by Nicholas Christian and Amanda Christian, MD. There are also podcasts, blogs, and courses to help educate doctors on finance, such as the Fire Your Financial Advisor course by The White Coat Investor.
Blind Spot #3
Undersaving. Retirement saving is one thing, but 24% of doctors say they don’t even put money away in a taxable savings account, according to the Wealth & Debt Report.
Cobin Soelberg, MD, JD, a board-certified anesthesiologist and founder and principal advisor with Greeley Wealth Management, is the treasurer of his anesthesiology group. “I get to see every month how much people are saving, and even on an anesthesiologist salary, where everyone’s making about $400,000 a year, a lot of people are not saving anything, which is crazy.”
Undersaving can be both a time issue and a mindset one.
Time: Doctors often start investing in their retirement accounts later than the average professional, says Dr. Chiang. “A lot of physicians will max out their 401k or 403b,” she explains. “But if you’re putting in $20,000 a year and only starting when you’re in your early 30s, that’s not enough to get you to retirement.”
Mindset: Doctors also see people of all ages who are sick, dying, and injured. “They all know someone who worked hard and saved and then dropped dead at 55,” explains Dr. Dahle. This, he says, can lead to a bit of a “you only live once” attitude that prioritizes spending over saving.
The Fix
Shoot for 20%. If you can’t save 20% of your gross now, strive to get to that point. Think of it as telling a patient they have to change their behavior or trouble will come - not if, but when. “Develop a written investing plan and then stick with it through thick and thin,” says Dr. Dahle. “Once you have a reasonable plan, all you have to do is fund it adequately by saving 20% of your gross income, and a doctor will easily retire as a multimillionaire.”
Blind Spot #4
Bad investment strategies. Thirty-six percent of doctors experience their largest financial losses from lousy investments, according to the Wealth & Debt Report. Meanwhile, 17% of PCPs and 12% of specialists say they haven’t made any investments at all. That’s a terrible mix of doing the wrong thing and doing a worse thing.
The Fix
Don’t overthink investing, but don’t underthink it either. “As high-income earners, doctors just don’t need to take this high level of risk to reach their financial goals,” Dr. Frey says. A good investment plan doesn’t require you to time the stock market or predict individual stock winners. Consider what Vanguard founder Jack Bogle once said about investing: “Be bored by the process but elated by the outcome.”
Dr. Frey suggests going super-simple: index funds. Ignore investing strategies with actively managed mutual funds or individual stocks, as well as risky alternative investments such as cryptocurrency and angel investments. Everyone assumes doctors have money to burn, and they will push sketchy investment ideas at them. Avoid.
Blind Spot #5
Not taking debt seriously enough. The average medical student debt is $250,000 and can exceed $500,000, says Dr. Soelberg. Many doctors spend the first 10 to 20 years of their careers paying this off. Today’s graduates are paying more than 7% on their loans.
And it’s not just student debt: 39% of physicians carry five or more credit cards, and 34% have mortgages larger than $300,000 (with half of those are more than than $500K), per the Wealth & Debt Report.
The Fix
Treat debt like cancer. It’s a lethal enemy you can’t get rid of right away, but a steady, aggressive, long-term attack will have the best results. Dr. Soelberg suggests allocating the most you can afford per month, whether that’s $1000 or $5000, toward debt. Raise the amount as your income grows. Do the same with your 401k or retirement plan. Whatever is left, you can spend. Five to 10 years later, you will realize, “Wow. I’m debt free.”
Blind Spot #6
Not putting in the work to improve your situation. Seventy-one percent of doctors admit they haven’t done anything to reduce major expenses, according to the Wealth & Debt Report. Are you leaving major money on the table?
The Fix
Audit yourself in major areas like housing and taxes. While the average professional may need to put 10% to 20% down on a home, physicians can qualify for physician mortgage loans and can often put down 3% or less, says Dr. Chiang. If you can afford the higher mortgage payment, excess savings earmarked for a larger down payment can be put toward debt or invested.
Another trick, if you’re able, is to seek an area that is less in demand at a higher salary. “Physicians in places like New York City or San Francisco tend to make less than physicians in the Midwest or the South,” Dr. Chiang explains. A colleague of hers moved to rural Pennsylvania, where he made a high salary and had a low cost of living for 3½ years, paid off his student debt, and then relocated to an area where he wanted to live long term.
As for taxes, become familiar with tax law. Research things like, “What is considered a business expense for doctors?” says Brett Mollard, MD, a diagnostic radiologist who provides financial advice to younger physicians. “What will your estimated total tax burden be at the end of the year? Will you need to make extra payments to prevent owing a large sum of money from underpaying or to avoid tax penalties?”
Blind Spot #7
Living like a rock star on a doctor’s income. Getting caught up in trying to live the same lifestyle as your colleagues is a classic bear trap. “Sitting in the doctor’s lounge, it’s so crazy,” Dr. Soelberg says. He describes conversations like, “‘Where did you go on your trip?’ ‘What new toys are you buying?’” There’s pressure to live up to an image of what a doctor’s life is supposed to look like before you’ve sorted the basic things like paying off debt.
The Fix
Live like a resident even if you haven’t been one for years, at least until you’re in a better financial position. “You’re already used to living a life of lower means, and you’re an expert when it comes to delaying gratification,” says Dr. Mollard. “Do it a little longer.” Live frugally and spend only on things that bring you joy. “A lot of physicians are trying to be really rich in all areas of their life instead of the ones that actually matter to them,” Dr. Soelberg says. Identify what’s important to you and only splurge on that.
Blind Spot #8
Never asking for help. The right financial planner can provide expert help. Emphasis on right. “Doctors can be very trusting of other professionals, even when they should not be,” says Dr. Dahle. He notes that in financial services, many people masquerade as knowledgeable advisors who are really just salespeople. While legitimate financial advisors strive to make their clients money, they are also ultimately out to line their pockets and love to work with physician salaries. Thus, doctors can end up working with financial planners that don’t specifically understand their situations or end up taking too much from their clients.
The Fix
Find a planner who specializes in, or at least understands, physicians. Ask them how they make money, says Dr. Chiang. If someone hesitates to tell you about their fee structure or if it sounds like a lot, shop around and ask colleagues for recommendations.
“Ultimately, the path to wealth is to create and grow the margin between what you make and what you spend,” says Dr. Frey. Throw some investing into the mix and physicians can set themselves up on a path for a stress-free financial life.
A version of this article appeared on Medscape.com.
The average physician makes $352,000, and some earn well into the $500,000s. So, doctors don’t have to worry about money, right?
You know the answer to that.
One thing all physicians have in common about money, says James M. Dahle, MD, FACEP, founder of The White Coat Investor, is that they don’t receive any training in business, personal finance, or investing throughout their schooling or careers unless they seek it out. This leaves many unprepared to make the best investing and money-saving decisions, while others get too frustrated about their lack of knowledge to even dip their toe into the investing pool.
Exhibit A: Four out of 10 physicians have a net worth below $1 million, according to the Medscape Physician Wealth & Debt Report 2023. Elizabeth Chiang, MD, PhD, an oculoplastic surgeon and a physician money coach at Grow Your Wealthy Mindset, notes that many of those doctors are over age 65, “which means they essentially can’t retire.”
And that’s just one pain point.
Physicians have money concerns specific to their profession and background. Luckily, some fellow doctors also serve as financial and wealth advisors just for other doctors.
Blind Spot #1
The early lean years skew doctors’ money outlook. “We have an extended training period, which commonly consists of taking on a large amount of debt, followed by 3 to 8 years of being paid a modest salary, and then finally a large boost in income,” explains Dr. Chiang. This can lay a shaky foundation for the earning years to come, and as a result, a lot of doctors just don’t think about money in healthy ways. Once their incomes increase, physicians may be surprised, for example, that making a multiple six-figure salary means paying six figures in taxes.
The Fix
Treat financial health like physical health. That means money cannot be a taboo subject. “The misguided mindset is that we didn’t become physicians to make money, we did it to help people,” explains Jordan Frey, MD, creator of the blog, The Prudent Plastic Surgeon.
Dr. Frey acknowledges that the desire to help is certainly true. But the result is a false idea that “to think about our personal finances makes us a worse doctor.”
Blind Spot #2
Because doctors know a lot about one thing (medicine), they might assume they know a lot about everything (such as investing). “Totally different fields with a different language and different way to think about it,” Dahle explains. This overconfidence could lead to some negligent or risky financial decisions.
The Fix
Educate yourself. There are several books on personal finance and investing written by physicians for physicians. Dr. Chiang recommends The Physician Philosopher’s Guide to Personal Finance, by James Turner, MD; Financial Freedom Rx, by Chirag Shah, MD, and Jayanth Sridhar, MD; and The Physician’s Guide to Finance, by Nicholas Christian and Amanda Christian, MD. There are also podcasts, blogs, and courses to help educate doctors on finance, such as the Fire Your Financial Advisor course by The White Coat Investor.
Blind Spot #3
Undersaving. Retirement saving is one thing, but 24% of doctors say they don’t even put money away in a taxable savings account, according to the Wealth & Debt Report.
Cobin Soelberg, MD, JD, a board-certified anesthesiologist and founder and principal advisor with Greeley Wealth Management, is the treasurer of his anesthesiology group. “I get to see every month how much people are saving, and even on an anesthesiologist salary, where everyone’s making about $400,000 a year, a lot of people are not saving anything, which is crazy.”
Undersaving can be both a time issue and a mindset one.
Time: Doctors often start investing in their retirement accounts later than the average professional, says Dr. Chiang. “A lot of physicians will max out their 401k or 403b,” she explains. “But if you’re putting in $20,000 a year and only starting when you’re in your early 30s, that’s not enough to get you to retirement.”
Mindset: Doctors also see people of all ages who are sick, dying, and injured. “They all know someone who worked hard and saved and then dropped dead at 55,” explains Dr. Dahle. This, he says, can lead to a bit of a “you only live once” attitude that prioritizes spending over saving.
The Fix
Shoot for 20%. If you can’t save 20% of your gross now, strive to get to that point. Think of it as telling a patient they have to change their behavior or trouble will come - not if, but when. “Develop a written investing plan and then stick with it through thick and thin,” says Dr. Dahle. “Once you have a reasonable plan, all you have to do is fund it adequately by saving 20% of your gross income, and a doctor will easily retire as a multimillionaire.”
Blind Spot #4
Bad investment strategies. Thirty-six percent of doctors experience their largest financial losses from lousy investments, according to the Wealth & Debt Report. Meanwhile, 17% of PCPs and 12% of specialists say they haven’t made any investments at all. That’s a terrible mix of doing the wrong thing and doing a worse thing.
The Fix
Don’t overthink investing, but don’t underthink it either. “As high-income earners, doctors just don’t need to take this high level of risk to reach their financial goals,” Dr. Frey says. A good investment plan doesn’t require you to time the stock market or predict individual stock winners. Consider what Vanguard founder Jack Bogle once said about investing: “Be bored by the process but elated by the outcome.”
Dr. Frey suggests going super-simple: index funds. Ignore investing strategies with actively managed mutual funds or individual stocks, as well as risky alternative investments such as cryptocurrency and angel investments. Everyone assumes doctors have money to burn, and they will push sketchy investment ideas at them. Avoid.
Blind Spot #5
Not taking debt seriously enough. The average medical student debt is $250,000 and can exceed $500,000, says Dr. Soelberg. Many doctors spend the first 10 to 20 years of their careers paying this off. Today’s graduates are paying more than 7% on their loans.
And it’s not just student debt: 39% of physicians carry five or more credit cards, and 34% have mortgages larger than $300,000 (with half of those are more than than $500K), per the Wealth & Debt Report.
The Fix
Treat debt like cancer. It’s a lethal enemy you can’t get rid of right away, but a steady, aggressive, long-term attack will have the best results. Dr. Soelberg suggests allocating the most you can afford per month, whether that’s $1000 or $5000, toward debt. Raise the amount as your income grows. Do the same with your 401k or retirement plan. Whatever is left, you can spend. Five to 10 years later, you will realize, “Wow. I’m debt free.”
Blind Spot #6
Not putting in the work to improve your situation. Seventy-one percent of doctors admit they haven’t done anything to reduce major expenses, according to the Wealth & Debt Report. Are you leaving major money on the table?
The Fix
Audit yourself in major areas like housing and taxes. While the average professional may need to put 10% to 20% down on a home, physicians can qualify for physician mortgage loans and can often put down 3% or less, says Dr. Chiang. If you can afford the higher mortgage payment, excess savings earmarked for a larger down payment can be put toward debt or invested.
Another trick, if you’re able, is to seek an area that is less in demand at a higher salary. “Physicians in places like New York City or San Francisco tend to make less than physicians in the Midwest or the South,” Dr. Chiang explains. A colleague of hers moved to rural Pennsylvania, where he made a high salary and had a low cost of living for 3½ years, paid off his student debt, and then relocated to an area where he wanted to live long term.
As for taxes, become familiar with tax law. Research things like, “What is considered a business expense for doctors?” says Brett Mollard, MD, a diagnostic radiologist who provides financial advice to younger physicians. “What will your estimated total tax burden be at the end of the year? Will you need to make extra payments to prevent owing a large sum of money from underpaying or to avoid tax penalties?”
Blind Spot #7
Living like a rock star on a doctor’s income. Getting caught up in trying to live the same lifestyle as your colleagues is a classic bear trap. “Sitting in the doctor’s lounge, it’s so crazy,” Dr. Soelberg says. He describes conversations like, “‘Where did you go on your trip?’ ‘What new toys are you buying?’” There’s pressure to live up to an image of what a doctor’s life is supposed to look like before you’ve sorted the basic things like paying off debt.
The Fix
Live like a resident even if you haven’t been one for years, at least until you’re in a better financial position. “You’re already used to living a life of lower means, and you’re an expert when it comes to delaying gratification,” says Dr. Mollard. “Do it a little longer.” Live frugally and spend only on things that bring you joy. “A lot of physicians are trying to be really rich in all areas of their life instead of the ones that actually matter to them,” Dr. Soelberg says. Identify what’s important to you and only splurge on that.
Blind Spot #8
Never asking for help. The right financial planner can provide expert help. Emphasis on right. “Doctors can be very trusting of other professionals, even when they should not be,” says Dr. Dahle. He notes that in financial services, many people masquerade as knowledgeable advisors who are really just salespeople. While legitimate financial advisors strive to make their clients money, they are also ultimately out to line their pockets and love to work with physician salaries. Thus, doctors can end up working with financial planners that don’t specifically understand their situations or end up taking too much from their clients.
The Fix
Find a planner who specializes in, or at least understands, physicians. Ask them how they make money, says Dr. Chiang. If someone hesitates to tell you about their fee structure or if it sounds like a lot, shop around and ask colleagues for recommendations.
“Ultimately, the path to wealth is to create and grow the margin between what you make and what you spend,” says Dr. Frey. Throw some investing into the mix and physicians can set themselves up on a path for a stress-free financial life.
A version of this article appeared on Medscape.com.
The fertile future of fertility technology
Fifth pregnancy, first baby.
After four pregnancies resulted in losses – and doing things as natural as possible and leaving it up to the birds, bees, and fate – my husband and I decided to explore in vitro fertilization (IVF).
Drugs to direct my follicles to produce more eggs, an egg retrieval procedure, genetic testing of our embryos, a quick procedure to remove a residual uterine septum from my uterus, drugs to thicken my endometrial lining to prepare my body to receive an embryo, an embryo transfer, steroids to suppress my immune system so my body would accept the pregnancy, blood thinner shots to promote blood flow to the baby, and 10 weeks of progesterone in oil shots later and we’re days away from welcoming our first baby into our lives.
In short, there’s more than one way to define “miracle baby.”
Global estimates say 48 million couples and 186 million individuals struggle with infertility. On average, 2 million infants born in the United States each year are conceived through assisted reproductive technology and the demand for treatments like IVF have doubled in the last decade.
Now the need for treatments outweighs clinician availability. “We have about 1,250 practicing fertility physicians in the U.S. to serve the whole country, which is highly inadequate,” said Eduardo Hariton, MD, a reproductive endocrinology physician in San Francisco and managing director of the U.S. Fertility Innovation Fund. “We have people that want to get care waiting 1 to 3 months to be seen.”
Dr. Hariton explains that U.S. IVF clinics are performing around 250,000 to 300,000 IVF cycles per year and need to be doing a million-plus to meet demand. This, plus the cost of fertility treatments – an average IVF cycle runs $23,500 and the majority of patients need multiple cycles to conceive – keeps the barrier to entry high.
Enter technology: New advances are on the way to help the assisted fertility process to run smoother and be less costly. “The field is really coming into an age of great progress and innovation,” added S. Zev Williams, MD, PhD, chief of the division of reproductive endocrinology and Infertility at Columbia University Irving Medical Center, New York City.
I’m personally grateful that such technology exists.
AI will help, of course
Fertility treatments involve endless analysis, diagnosis, and recommendations – dozens if not hundreds of decisions from each physician for each patient. Human action and reaction can affect this process, Dr. Hariton explained.
For example, if he hyperstimulated a woman during the follicle growing stage of her egg retrieval and ended up with eggs too large to retrieve, Dr. Hariton said he may subconsciously be more inclined to be extra cautious with his patients the week after, and vice versa.
This is where AI can help. “Rather than me making decisions from a couple of thousands of cycles of experience, I get to leverage hundreds of thousands of cycles from different providers over different people,” said Dr. Hariton. “I get to use all the data from that patient today – her age, her weight, what happened last cycle, how she’s doing – and make a very objective decision about the optimal time to give that woman or that couple the best outcome possible.”
AI can also assist with tasks like embryo grading. “Once our embryos are made in the lab, we usually have an embryologist looking at those embryos, grading them on a three-variable scale, and then picking the nicest one for transfer,” said Dr. Hariton. Machine learning computer vision software can help doctors select the best embryo.
Many of these AI products are in trials in the United States and some AI-based technology is already being used in fertility labs, especially in other countries. “ALife recently launched a suite of products to help with their decisions during stimulation that can help with the quality KPIs [key performance indicators] in the lab,” said Dr. Hariton. “There’s also a company that does AI-based predictions of success to give patients a better estimate called Univfy.” More AI products are still in development or awaiting Food and Drug Administration clearance.
Robots lend a hand
Like artificial intelligence, robots can be a big help in the IVF lab. Columbia University Fertility Center recently became the first to use an articulated (ART) robot to handle precise and highly repetitive work.
“IVF, from the initial point, involves creating these special plates where embryos can grow, and you do that by making little droplets,” said Dr. Williams. “It’s very time-consuming to create tons of these little droplets for the embryos to grow.” Thus, the lab created a robot to help squirt drops of the media substance required to sustain embryos in a way that is 10 times more precise than that of a trained embryologist.
“It’s a win-win because you allow the robots to do things better than a human can and this allows the humans to do things that a robot just can’t do,” explained Dr. Williams. He and his team began using this technology in the beginning of November 2022.
Dr. Williams sees ART robots being used in many more parts of the fertility treatment journey along the way, like preparing eggs after they are retrieved and performing intracytoplasmic sperm injection (ICSI), with the robot injecting the sperm into the egg.
Launching with the plate making, said Dr. Williams, is a low stakes entry point for robotic technology in the lab. “It allows us to introduce robotics to automate and optimize each step along the way, but to do so in the safest possible way.”
Dr. Williams estimates that robots will have their hands on actual eggs and sperm in 5 years.
Updates in genetic testing
Currently, if a couple wants to have their embryos genetically tested, also known as preimplantation genetic testing, each embryo must be frozen, then a biopsy of that embryo is performed and sent to the lab.
“It takes time to get the results,” said Dr. Williams. “The whole time you’re waiting, you don’t know if you’re going to have any embryos that are transferable or if next month you’re going to have to do another IVF cycle.”
Columbia researchers recently developed a new in-house test that can determine if a fetus or embryo has the right number of chromosomes. This STORK (Short-read Transpore Rapid Karyotyping) can be performed without freezing embryos and sending them out, which Dr. Williams said can save couples money and time, as they won’t necessarily need to do a separate embryo transfer cycle and can transfer an embryo in the same cycle. “You can test in the morning and transfer in the afternoon,” said Dr. Williams.
The test is currently awaiting approval and will first be used to test miscarriage samples to see if embryos were genetically normal or not, which he said should cost around $200 vs. the $2,000 to $4,000 it can cost to have fetal tissue sent to the lab – and insurance doesn’t cover the procedure until after a second or third miscarriage.
This, said Dr. Williams, should be in the field in less than a year, and he estimates that the test will be used for fresh embryos in about a year and a half.
Sperm collection made simpler
Typically, a man delivers a sperm sample in a room at an IVF clinic or by collecting a sample at home and rushing it to the clinic before it degrades, which Dr. Williams said can happen in as little as 15 minutes.
In 2020, Dr. Williams and his team began using a custom at-home sperm collection box that houses sperm in a recyclable foam container that holds a sample cup, which is filled with special sperm-supporting media, at an angle that prevents evaporation and maintains temperature and pH. This allows patients to collect samples in the comfort of their homes and increases the clock to 3 hours.
“It’s great for the patients because it’s much more comfortable,” said Dr. Williams, who notes that having to “perform” on site can be stressful for men. Studies the team has conducted have shown sperm collected in this manner have a better success rate than those collected in the lab, and 90% of Columbia’s Fertility Center patients are now providing sperm samples this way.
Similar innovations to deliver sperm, like Protex, are now on the market, while companies like myLabBox and Legacy are offering at-home sperm testing kits to mail in for a full semen analysis.
At-home monitoring: More and better
Wearable reproductive health devices are also helping more women get pregnant. “I am very excited about biometric data harnessed in wearables to predict periods, ovulation, and fertility,” said Amander Clark, PhD, director of the UCLA Center for Reproductive Science, Health, and Education, Los Angeles.
The Tempdrop Fertility and Ovulation Tracker, for instance, is a wearable sensor with an accompanying charting app that helps a woman identify her most fertile days to conceive. The Bellabeat Ivy is a women’s health smart bracelet with a strong focus on tracking a woman’s cycle and fertility, pregnancy, and postnatal symptoms. And Mirvie, which is currently in development, is a blood test that will be able to predict pregnancy complications earlier.
Physicians are also looking to move as much of the lab experience as they can into a patient’s home, which streamlines processes while offering privacy and comfort. For example, Dr. Hariton, who runs a strategic venture capital fund for physicians, said his team is currently working with a company that does remote ultrasounds.
And Mira, an at-home hormone monitor, uses patented AI algorithms to accurately measure the levels of major reproductive health hormones (E3G, LH, PdG, FSH) in urine, said Meir Olcha, MD, chief medical officer at Sama Fertility. The product recently completed a clinical trial, which showed it was a viable alternative to blood serum for patients undergoing IVF.
Stem cells could make eggs ageless
Research shows that a woman’s egg quality decreases gradually but significantly starting at age 32 and more rapidly after 37. Sperm quality may also decrease with age. A possible workaround: Scientists are actively researching how to create eggs and sperm from stem cells.
“I think getting eggs from stem cells will happen in the future,” said Dr. Hariton, who notes that this type of technology would be a game changer in his clinic. “It will make some of the hardest diagnoses that I have – which is on a daily basis, ‘I’m so sorry, you’re in premature menopause’ or ‘I don’t think we’re going to be successful getting you pregnant with your own eggs; here are some other options like donor eggs’ – much better,” he added. And stem cells are currently being used to research causes of infertility.
Clinics like UCLA have already been making strides. “We are using stem cells to identify new genes required for reproduction and to define the role of these genes in human fertility and infertility,” said Dr. Clark, a member of the Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research at UCLA, who recently led a study in this arena. “In vitro gametogenesis (IVG), another stem cell technology, is currently used in the research lab to understand causes of infertility.”
These stem cell-based embryo models, she said, can help researchers understand the first few days of embryo development after an embryo implants and be used to provide critical information on causes of early pregnancy loss or birth defects.
A version of this article appeared on Medscape.com.
Fifth pregnancy, first baby.
After four pregnancies resulted in losses – and doing things as natural as possible and leaving it up to the birds, bees, and fate – my husband and I decided to explore in vitro fertilization (IVF).
Drugs to direct my follicles to produce more eggs, an egg retrieval procedure, genetic testing of our embryos, a quick procedure to remove a residual uterine septum from my uterus, drugs to thicken my endometrial lining to prepare my body to receive an embryo, an embryo transfer, steroids to suppress my immune system so my body would accept the pregnancy, blood thinner shots to promote blood flow to the baby, and 10 weeks of progesterone in oil shots later and we’re days away from welcoming our first baby into our lives.
In short, there’s more than one way to define “miracle baby.”
Global estimates say 48 million couples and 186 million individuals struggle with infertility. On average, 2 million infants born in the United States each year are conceived through assisted reproductive technology and the demand for treatments like IVF have doubled in the last decade.
Now the need for treatments outweighs clinician availability. “We have about 1,250 practicing fertility physicians in the U.S. to serve the whole country, which is highly inadequate,” said Eduardo Hariton, MD, a reproductive endocrinology physician in San Francisco and managing director of the U.S. Fertility Innovation Fund. “We have people that want to get care waiting 1 to 3 months to be seen.”
Dr. Hariton explains that U.S. IVF clinics are performing around 250,000 to 300,000 IVF cycles per year and need to be doing a million-plus to meet demand. This, plus the cost of fertility treatments – an average IVF cycle runs $23,500 and the majority of patients need multiple cycles to conceive – keeps the barrier to entry high.
Enter technology: New advances are on the way to help the assisted fertility process to run smoother and be less costly. “The field is really coming into an age of great progress and innovation,” added S. Zev Williams, MD, PhD, chief of the division of reproductive endocrinology and Infertility at Columbia University Irving Medical Center, New York City.
I’m personally grateful that such technology exists.
AI will help, of course
Fertility treatments involve endless analysis, diagnosis, and recommendations – dozens if not hundreds of decisions from each physician for each patient. Human action and reaction can affect this process, Dr. Hariton explained.
For example, if he hyperstimulated a woman during the follicle growing stage of her egg retrieval and ended up with eggs too large to retrieve, Dr. Hariton said he may subconsciously be more inclined to be extra cautious with his patients the week after, and vice versa.
This is where AI can help. “Rather than me making decisions from a couple of thousands of cycles of experience, I get to leverage hundreds of thousands of cycles from different providers over different people,” said Dr. Hariton. “I get to use all the data from that patient today – her age, her weight, what happened last cycle, how she’s doing – and make a very objective decision about the optimal time to give that woman or that couple the best outcome possible.”
AI can also assist with tasks like embryo grading. “Once our embryos are made in the lab, we usually have an embryologist looking at those embryos, grading them on a three-variable scale, and then picking the nicest one for transfer,” said Dr. Hariton. Machine learning computer vision software can help doctors select the best embryo.
Many of these AI products are in trials in the United States and some AI-based technology is already being used in fertility labs, especially in other countries. “ALife recently launched a suite of products to help with their decisions during stimulation that can help with the quality KPIs [key performance indicators] in the lab,” said Dr. Hariton. “There’s also a company that does AI-based predictions of success to give patients a better estimate called Univfy.” More AI products are still in development or awaiting Food and Drug Administration clearance.
Robots lend a hand
Like artificial intelligence, robots can be a big help in the IVF lab. Columbia University Fertility Center recently became the first to use an articulated (ART) robot to handle precise and highly repetitive work.
“IVF, from the initial point, involves creating these special plates where embryos can grow, and you do that by making little droplets,” said Dr. Williams. “It’s very time-consuming to create tons of these little droplets for the embryos to grow.” Thus, the lab created a robot to help squirt drops of the media substance required to sustain embryos in a way that is 10 times more precise than that of a trained embryologist.
“It’s a win-win because you allow the robots to do things better than a human can and this allows the humans to do things that a robot just can’t do,” explained Dr. Williams. He and his team began using this technology in the beginning of November 2022.
Dr. Williams sees ART robots being used in many more parts of the fertility treatment journey along the way, like preparing eggs after they are retrieved and performing intracytoplasmic sperm injection (ICSI), with the robot injecting the sperm into the egg.
Launching with the plate making, said Dr. Williams, is a low stakes entry point for robotic technology in the lab. “It allows us to introduce robotics to automate and optimize each step along the way, but to do so in the safest possible way.”
Dr. Williams estimates that robots will have their hands on actual eggs and sperm in 5 years.
Updates in genetic testing
Currently, if a couple wants to have their embryos genetically tested, also known as preimplantation genetic testing, each embryo must be frozen, then a biopsy of that embryo is performed and sent to the lab.
“It takes time to get the results,” said Dr. Williams. “The whole time you’re waiting, you don’t know if you’re going to have any embryos that are transferable or if next month you’re going to have to do another IVF cycle.”
Columbia researchers recently developed a new in-house test that can determine if a fetus or embryo has the right number of chromosomes. This STORK (Short-read Transpore Rapid Karyotyping) can be performed without freezing embryos and sending them out, which Dr. Williams said can save couples money and time, as they won’t necessarily need to do a separate embryo transfer cycle and can transfer an embryo in the same cycle. “You can test in the morning and transfer in the afternoon,” said Dr. Williams.
The test is currently awaiting approval and will first be used to test miscarriage samples to see if embryos were genetically normal or not, which he said should cost around $200 vs. the $2,000 to $4,000 it can cost to have fetal tissue sent to the lab – and insurance doesn’t cover the procedure until after a second or third miscarriage.
This, said Dr. Williams, should be in the field in less than a year, and he estimates that the test will be used for fresh embryos in about a year and a half.
Sperm collection made simpler
Typically, a man delivers a sperm sample in a room at an IVF clinic or by collecting a sample at home and rushing it to the clinic before it degrades, which Dr. Williams said can happen in as little as 15 minutes.
In 2020, Dr. Williams and his team began using a custom at-home sperm collection box that houses sperm in a recyclable foam container that holds a sample cup, which is filled with special sperm-supporting media, at an angle that prevents evaporation and maintains temperature and pH. This allows patients to collect samples in the comfort of their homes and increases the clock to 3 hours.
“It’s great for the patients because it’s much more comfortable,” said Dr. Williams, who notes that having to “perform” on site can be stressful for men. Studies the team has conducted have shown sperm collected in this manner have a better success rate than those collected in the lab, and 90% of Columbia’s Fertility Center patients are now providing sperm samples this way.
Similar innovations to deliver sperm, like Protex, are now on the market, while companies like myLabBox and Legacy are offering at-home sperm testing kits to mail in for a full semen analysis.
At-home monitoring: More and better
Wearable reproductive health devices are also helping more women get pregnant. “I am very excited about biometric data harnessed in wearables to predict periods, ovulation, and fertility,” said Amander Clark, PhD, director of the UCLA Center for Reproductive Science, Health, and Education, Los Angeles.
The Tempdrop Fertility and Ovulation Tracker, for instance, is a wearable sensor with an accompanying charting app that helps a woman identify her most fertile days to conceive. The Bellabeat Ivy is a women’s health smart bracelet with a strong focus on tracking a woman’s cycle and fertility, pregnancy, and postnatal symptoms. And Mirvie, which is currently in development, is a blood test that will be able to predict pregnancy complications earlier.
Physicians are also looking to move as much of the lab experience as they can into a patient’s home, which streamlines processes while offering privacy and comfort. For example, Dr. Hariton, who runs a strategic venture capital fund for physicians, said his team is currently working with a company that does remote ultrasounds.
And Mira, an at-home hormone monitor, uses patented AI algorithms to accurately measure the levels of major reproductive health hormones (E3G, LH, PdG, FSH) in urine, said Meir Olcha, MD, chief medical officer at Sama Fertility. The product recently completed a clinical trial, which showed it was a viable alternative to blood serum for patients undergoing IVF.
Stem cells could make eggs ageless
Research shows that a woman’s egg quality decreases gradually but significantly starting at age 32 and more rapidly after 37. Sperm quality may also decrease with age. A possible workaround: Scientists are actively researching how to create eggs and sperm from stem cells.
“I think getting eggs from stem cells will happen in the future,” said Dr. Hariton, who notes that this type of technology would be a game changer in his clinic. “It will make some of the hardest diagnoses that I have – which is on a daily basis, ‘I’m so sorry, you’re in premature menopause’ or ‘I don’t think we’re going to be successful getting you pregnant with your own eggs; here are some other options like donor eggs’ – much better,” he added. And stem cells are currently being used to research causes of infertility.
Clinics like UCLA have already been making strides. “We are using stem cells to identify new genes required for reproduction and to define the role of these genes in human fertility and infertility,” said Dr. Clark, a member of the Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research at UCLA, who recently led a study in this arena. “In vitro gametogenesis (IVG), another stem cell technology, is currently used in the research lab to understand causes of infertility.”
These stem cell-based embryo models, she said, can help researchers understand the first few days of embryo development after an embryo implants and be used to provide critical information on causes of early pregnancy loss or birth defects.
A version of this article appeared on Medscape.com.
Fifth pregnancy, first baby.
After four pregnancies resulted in losses – and doing things as natural as possible and leaving it up to the birds, bees, and fate – my husband and I decided to explore in vitro fertilization (IVF).
Drugs to direct my follicles to produce more eggs, an egg retrieval procedure, genetic testing of our embryos, a quick procedure to remove a residual uterine septum from my uterus, drugs to thicken my endometrial lining to prepare my body to receive an embryo, an embryo transfer, steroids to suppress my immune system so my body would accept the pregnancy, blood thinner shots to promote blood flow to the baby, and 10 weeks of progesterone in oil shots later and we’re days away from welcoming our first baby into our lives.
In short, there’s more than one way to define “miracle baby.”
Global estimates say 48 million couples and 186 million individuals struggle with infertility. On average, 2 million infants born in the United States each year are conceived through assisted reproductive technology and the demand for treatments like IVF have doubled in the last decade.
Now the need for treatments outweighs clinician availability. “We have about 1,250 practicing fertility physicians in the U.S. to serve the whole country, which is highly inadequate,” said Eduardo Hariton, MD, a reproductive endocrinology physician in San Francisco and managing director of the U.S. Fertility Innovation Fund. “We have people that want to get care waiting 1 to 3 months to be seen.”
Dr. Hariton explains that U.S. IVF clinics are performing around 250,000 to 300,000 IVF cycles per year and need to be doing a million-plus to meet demand. This, plus the cost of fertility treatments – an average IVF cycle runs $23,500 and the majority of patients need multiple cycles to conceive – keeps the barrier to entry high.
Enter technology: New advances are on the way to help the assisted fertility process to run smoother and be less costly. “The field is really coming into an age of great progress and innovation,” added S. Zev Williams, MD, PhD, chief of the division of reproductive endocrinology and Infertility at Columbia University Irving Medical Center, New York City.
I’m personally grateful that such technology exists.
AI will help, of course
Fertility treatments involve endless analysis, diagnosis, and recommendations – dozens if not hundreds of decisions from each physician for each patient. Human action and reaction can affect this process, Dr. Hariton explained.
For example, if he hyperstimulated a woman during the follicle growing stage of her egg retrieval and ended up with eggs too large to retrieve, Dr. Hariton said he may subconsciously be more inclined to be extra cautious with his patients the week after, and vice versa.
This is where AI can help. “Rather than me making decisions from a couple of thousands of cycles of experience, I get to leverage hundreds of thousands of cycles from different providers over different people,” said Dr. Hariton. “I get to use all the data from that patient today – her age, her weight, what happened last cycle, how she’s doing – and make a very objective decision about the optimal time to give that woman or that couple the best outcome possible.”
AI can also assist with tasks like embryo grading. “Once our embryos are made in the lab, we usually have an embryologist looking at those embryos, grading them on a three-variable scale, and then picking the nicest one for transfer,” said Dr. Hariton. Machine learning computer vision software can help doctors select the best embryo.
Many of these AI products are in trials in the United States and some AI-based technology is already being used in fertility labs, especially in other countries. “ALife recently launched a suite of products to help with their decisions during stimulation that can help with the quality KPIs [key performance indicators] in the lab,” said Dr. Hariton. “There’s also a company that does AI-based predictions of success to give patients a better estimate called Univfy.” More AI products are still in development or awaiting Food and Drug Administration clearance.
Robots lend a hand
Like artificial intelligence, robots can be a big help in the IVF lab. Columbia University Fertility Center recently became the first to use an articulated (ART) robot to handle precise and highly repetitive work.
“IVF, from the initial point, involves creating these special plates where embryos can grow, and you do that by making little droplets,” said Dr. Williams. “It’s very time-consuming to create tons of these little droplets for the embryos to grow.” Thus, the lab created a robot to help squirt drops of the media substance required to sustain embryos in a way that is 10 times more precise than that of a trained embryologist.
“It’s a win-win because you allow the robots to do things better than a human can and this allows the humans to do things that a robot just can’t do,” explained Dr. Williams. He and his team began using this technology in the beginning of November 2022.
Dr. Williams sees ART robots being used in many more parts of the fertility treatment journey along the way, like preparing eggs after they are retrieved and performing intracytoplasmic sperm injection (ICSI), with the robot injecting the sperm into the egg.
Launching with the plate making, said Dr. Williams, is a low stakes entry point for robotic technology in the lab. “It allows us to introduce robotics to automate and optimize each step along the way, but to do so in the safest possible way.”
Dr. Williams estimates that robots will have their hands on actual eggs and sperm in 5 years.
Updates in genetic testing
Currently, if a couple wants to have their embryos genetically tested, also known as preimplantation genetic testing, each embryo must be frozen, then a biopsy of that embryo is performed and sent to the lab.
“It takes time to get the results,” said Dr. Williams. “The whole time you’re waiting, you don’t know if you’re going to have any embryos that are transferable or if next month you’re going to have to do another IVF cycle.”
Columbia researchers recently developed a new in-house test that can determine if a fetus or embryo has the right number of chromosomes. This STORK (Short-read Transpore Rapid Karyotyping) can be performed without freezing embryos and sending them out, which Dr. Williams said can save couples money and time, as they won’t necessarily need to do a separate embryo transfer cycle and can transfer an embryo in the same cycle. “You can test in the morning and transfer in the afternoon,” said Dr. Williams.
The test is currently awaiting approval and will first be used to test miscarriage samples to see if embryos were genetically normal or not, which he said should cost around $200 vs. the $2,000 to $4,000 it can cost to have fetal tissue sent to the lab – and insurance doesn’t cover the procedure until after a second or third miscarriage.
This, said Dr. Williams, should be in the field in less than a year, and he estimates that the test will be used for fresh embryos in about a year and a half.
Sperm collection made simpler
Typically, a man delivers a sperm sample in a room at an IVF clinic or by collecting a sample at home and rushing it to the clinic before it degrades, which Dr. Williams said can happen in as little as 15 minutes.
In 2020, Dr. Williams and his team began using a custom at-home sperm collection box that houses sperm in a recyclable foam container that holds a sample cup, which is filled with special sperm-supporting media, at an angle that prevents evaporation and maintains temperature and pH. This allows patients to collect samples in the comfort of their homes and increases the clock to 3 hours.
“It’s great for the patients because it’s much more comfortable,” said Dr. Williams, who notes that having to “perform” on site can be stressful for men. Studies the team has conducted have shown sperm collected in this manner have a better success rate than those collected in the lab, and 90% of Columbia’s Fertility Center patients are now providing sperm samples this way.
Similar innovations to deliver sperm, like Protex, are now on the market, while companies like myLabBox and Legacy are offering at-home sperm testing kits to mail in for a full semen analysis.
At-home monitoring: More and better
Wearable reproductive health devices are also helping more women get pregnant. “I am very excited about biometric data harnessed in wearables to predict periods, ovulation, and fertility,” said Amander Clark, PhD, director of the UCLA Center for Reproductive Science, Health, and Education, Los Angeles.
The Tempdrop Fertility and Ovulation Tracker, for instance, is a wearable sensor with an accompanying charting app that helps a woman identify her most fertile days to conceive. The Bellabeat Ivy is a women’s health smart bracelet with a strong focus on tracking a woman’s cycle and fertility, pregnancy, and postnatal symptoms. And Mirvie, which is currently in development, is a blood test that will be able to predict pregnancy complications earlier.
Physicians are also looking to move as much of the lab experience as they can into a patient’s home, which streamlines processes while offering privacy and comfort. For example, Dr. Hariton, who runs a strategic venture capital fund for physicians, said his team is currently working with a company that does remote ultrasounds.
And Mira, an at-home hormone monitor, uses patented AI algorithms to accurately measure the levels of major reproductive health hormones (E3G, LH, PdG, FSH) in urine, said Meir Olcha, MD, chief medical officer at Sama Fertility. The product recently completed a clinical trial, which showed it was a viable alternative to blood serum for patients undergoing IVF.
Stem cells could make eggs ageless
Research shows that a woman’s egg quality decreases gradually but significantly starting at age 32 and more rapidly after 37. Sperm quality may also decrease with age. A possible workaround: Scientists are actively researching how to create eggs and sperm from stem cells.
“I think getting eggs from stem cells will happen in the future,” said Dr. Hariton, who notes that this type of technology would be a game changer in his clinic. “It will make some of the hardest diagnoses that I have – which is on a daily basis, ‘I’m so sorry, you’re in premature menopause’ or ‘I don’t think we’re going to be successful getting you pregnant with your own eggs; here are some other options like donor eggs’ – much better,” he added. And stem cells are currently being used to research causes of infertility.
Clinics like UCLA have already been making strides. “We are using stem cells to identify new genes required for reproduction and to define the role of these genes in human fertility and infertility,” said Dr. Clark, a member of the Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research at UCLA, who recently led a study in this arena. “In vitro gametogenesis (IVG), another stem cell technology, is currently used in the research lab to understand causes of infertility.”
These stem cell-based embryo models, she said, can help researchers understand the first few days of embryo development after an embryo implants and be used to provide critical information on causes of early pregnancy loss or birth defects.
A version of this article appeared on Medscape.com.
Could this computer help you beat cancer?
The 1960s marked the arrival of computers in medicine. Expensive, cumbersome hunks of plastic and metal that could (maybe) get test results to a doctor faster. The 1980s saw the first real difference-making functions computers could offer – clinical, financial, administrative – and in 1991, the Institute of Medicine published the first manifesto on what electronic health records could (and would) be.
Since then, we’ve seen computer breakthroughs across all areas of medicine, with artificial intelligence (AI), virtual reality, and telemedicine brought to the fore. But something else is brewing that not a lot of people know about yet:
“Think of it as transitioning from getting light through fire and candles and now having electricity, and there’s a light bulb that is lighting it all,” said Lara Jehi, MD, Cleveland Clinic’s chief research information officer.
What is quantum computing?
Classical computers (aka binary computers), which are the foundation of today’s devices, including artificial intelligence and machine learning, work by using information known as bits. These appear as 0 or 1 (sometimes defined as off/on or false/true).
Quantum computers, on the other hand, use quantum bits known as qubits. And yes, the definition of “quantum” – as in: very, very small – applies.
International Business Machines, more commonly known as IBM, is currently leading this new tech. A common misconception about quantum computers is that they are “a next evolution of computers that will get faster,” said Frederik Flöther, PhD, life sciences and health care lead with IBM Quantum Industry Consulting. Instead, he wants us to look at quantum computing as something completely new “because it is fundamentally a different hardware, a different software, not just an evolution of the same.”
How does it work differently from existing computers? Quantum computing deals in nature. Therefore, qubits have to be based on the natural world. What does that mean? Nobel Prize-winning physicist Richard Feynman was famously quoted as saying: “Nature isn’t classical, dammit, and if you want to make a simulation of nature, you’d better make it quantum mechanical, and by golly it’s a wonderful problem, because it doesn’t look so easy.”
Nature, said Dr. Jehi, doesn’t work in black and white or fit into boxes.
“We have to convert it to zeros and ones because that’s what computers speak,” she explained. But quantum computing uses the principles of quantum mechanics. “It’s exactly how nature works, because it is based on the fundamental unit of everything in nature, which is atomic structure.”
Very, very small indeed. And that’s why quantum computing could be game-changing tech in medicine.
“Quantum computers can be used to represent a bunch of different solutions to a problem all at the same time, and then collapse down to the optimal solution, the one that actually works,” said Tony Uttley, president and chief operating officer with Quantinuum, a collaboration between Cambridge Quantum and Honeywell Quantum Solutions that is working to drive the future of quantum computing. “And the reason it does that is because of some fabulous properties of quantum physics.”
Establishing a quantum computing beachhead
Scientists around the globe are studying quantum computers looking for ways to harness this technology to make big gains in medicine.
IBM has created the IBM Quantum Network and is partnering with different organizations, from startups to Fortune 500 companies, to develop and test technology in various settings. One of these partnerships with the Cleveland Clinic is set to establish the “Discovery Accelerator,” focused on advancing health care through high-performance computing on the hybrid cloud, quantum computing technologies, and artificial intelligence.
Many people around the country are now using this technology on existing computers by tapping into the cloud, but with limited qubit access. IBM has researchers in places like Germany and Japan working on quantum computers and will be installing the country’s first of IBM’s next-generation 1,000+ qubit quantum systems on the Cleveland Clinic campus, which they are planning to use to help further investigate quantum computing’s many predicted benefits.
But what are those benefits?
Drug discovery and development
Quantum chemistry is one main area quantum computing is poised to help.
“The immediate application of that would be in drug discovery,” said Dr. Jehi. When scientists make drugs, they sit in a lab and develop different chemical formulas for what might constitute that drug.
“But for us to really know if it’s going to work, we need to be able to imagine how that chemical composition will translate into a structure,” she said.
Even in their most powerful form, today’s supercomputers are slow in their ability to change this chemical formula on paper to a simulation of what the chemical compound will look like. And in many cases, they can’t do this type of analysis.
“So, we end up making the drugs without knowing exactly how they’re going to look, which is not really the optimal way of creating a drug you expect to work” explained Dr. Jehi. “It’s a waste of time creating compounds that aren’t going to have any effect.”
Quantum computers will allow researchers to create and see these molecular structures and know how they bind and interact with the human body. In effect, they’ll know if a potential drug will work before ever having to physically make it.
Because of its differences from classic computing, quantum computers are not limited in their ability to simulate how different compounds can appear. Being able to simulate the compounds that drugs are made of can lead to a faster discovery of medications to treat a wide range of conditions.
Disease analysis
Eventually, this technology could assist with disease analysis, working on a molecular level to allow computers/AI to contemplate, for example, cancer molecules and gain a deeper understanding of how they function.
Dr. Jehi said quantum computing can also be used to study things like chronic illnesses. These are conditions that people must live with and manage, and how a person is feeling in this instance can vary day to day, based on things like what a person is eating, the weather, or medications they are taking.
“There are so many different possibilities for what could change a patient’s trajectory in one way versus another,” said Dr. Jehi.
She stressed that, if one has a group of patients, and everything that’s happened to them along their disease journey has been captured, it’s very challenging to mimic what that group looks like, and then study the effects of these different interventions on it using traditional computing.
“It just gets way too complicated, and the computers that we have can’t keep up with analyzing the effects of the different possibilities. It gets jumbled up,” Dr. Jehi said.
But quantum computing can offer quantum machine learning, meaning you use this special quantum ability to handle different simulations and different possibilities.
The Cleveland Clinic, for instance, is looking at how some patients who undergo general surgeries have heart complications after their procedures.
“It would be transformative if we could identify ahead of time who is at highest risk of having a heart attack after surgery, as so we could take care of those people better,” she said.
The clinic’s current data set includes records for 450,000 patients, and current AI/machine learning makes sifting through this very slow and complex. The clinic is using machine learning approaches to create a synthetic data set, a smaller group that is a replica of the much larger one. Quantum technology could improve and speed this analysis to produce models that better perform.
Disease detection
“Imagine you go get a CT scan,” said Mr. Uttley. “There are already AI solutions that you can run that set of images through and ask: ‘Does this look like something that would be cancer?’ ” This existing technology works well on things that are typical and have been identified before, because that’s how machine learning works. If AI has seen something 100,000 times, it can often find something else that looks like it.
But today’s classical computers aren’t equipped to identify something unfamiliar. “Those are places where quantum computers can be much better at thinking of images and being able to say: ‘I can detect rare cancers or rare conditions that you don’t have a huge library of things that look like that,’ ” Mr. Uttley said.
This is also where researchers can use a quantum computer to be able to figure out what things could look like.
“The beauty of quantum computing is that it is a bias formation in quantum physics, this more probabilistic design. And so you can take advantage of that probabilistic design to help them think about this,” Mr. Uttley said.
How far out are we?
Mr. Uttley said we’re in an emergent era of quantum computing. Quantum computers exist and that’s a big deal, but a lot of this technology is still in fairly early stages.
“It’s a little bit like we’re at the beginning of the internet and saying, how are things going to play out,” he explained.
Right now, companies like Quantinuum are striving to perform computations on both a quantum and classic computer, compare the results, and say: “We’re getting the same answer.”
“So, this is the era where we’re able to build trust and say these quantum computers are actually working correctly,” Mr. Uttley explained.
In the future, he said, we can possibly imagine something like a quantum MRI that is able to understand your body in a way that transmits that data to a quantum computer to detect what’s wrong, and be able to tell the difference between cancerous and noncancerous. That will allow faster treatments and tailoring them to specific patient populations.
“What we’re doing today might seem slightly less sexy than that, but is maybe even equally important,” said Mr. Uttley.
This is using quantum computers to make the best encryption keys that can be made. The medical community, which is already using quantum computing to execute this, is excited about this being a better means of keeping patient data as secure as possible.
In June, Quantinuum launched InQuanto, which is quantum computing software that is allowing computational chemists, who, until now, only had classical computers at their fingertips. The move created an opportunity to start thinking about the problems that they worked on and what they would do with a quantum computer. As quantum computers become higher performing over the years, Mr. Uttley said the software will go from tasks like isolating one molecule to solving larger problems.
“That will happen over this next decade, where I think we’ll see the first kind of real use cases come out in the next likely 2 to 3 years,” he said. For now, this technology will likely be used in tandem with classical computers.
Mr. Uttley said that progress in the quantum world and medicine will continue to grow at a slow and steady pace, and in years to come, we’ll likely see things start to click and then eventually take off “full force.”
A version of this article first appeared on WebMD.com.
The 1960s marked the arrival of computers in medicine. Expensive, cumbersome hunks of plastic and metal that could (maybe) get test results to a doctor faster. The 1980s saw the first real difference-making functions computers could offer – clinical, financial, administrative – and in 1991, the Institute of Medicine published the first manifesto on what electronic health records could (and would) be.
Since then, we’ve seen computer breakthroughs across all areas of medicine, with artificial intelligence (AI), virtual reality, and telemedicine brought to the fore. But something else is brewing that not a lot of people know about yet:
“Think of it as transitioning from getting light through fire and candles and now having electricity, and there’s a light bulb that is lighting it all,” said Lara Jehi, MD, Cleveland Clinic’s chief research information officer.
What is quantum computing?
Classical computers (aka binary computers), which are the foundation of today’s devices, including artificial intelligence and machine learning, work by using information known as bits. These appear as 0 or 1 (sometimes defined as off/on or false/true).
Quantum computers, on the other hand, use quantum bits known as qubits. And yes, the definition of “quantum” – as in: very, very small – applies.
International Business Machines, more commonly known as IBM, is currently leading this new tech. A common misconception about quantum computers is that they are “a next evolution of computers that will get faster,” said Frederik Flöther, PhD, life sciences and health care lead with IBM Quantum Industry Consulting. Instead, he wants us to look at quantum computing as something completely new “because it is fundamentally a different hardware, a different software, not just an evolution of the same.”
How does it work differently from existing computers? Quantum computing deals in nature. Therefore, qubits have to be based on the natural world. What does that mean? Nobel Prize-winning physicist Richard Feynman was famously quoted as saying: “Nature isn’t classical, dammit, and if you want to make a simulation of nature, you’d better make it quantum mechanical, and by golly it’s a wonderful problem, because it doesn’t look so easy.”
Nature, said Dr. Jehi, doesn’t work in black and white or fit into boxes.
“We have to convert it to zeros and ones because that’s what computers speak,” she explained. But quantum computing uses the principles of quantum mechanics. “It’s exactly how nature works, because it is based on the fundamental unit of everything in nature, which is atomic structure.”
Very, very small indeed. And that’s why quantum computing could be game-changing tech in medicine.
“Quantum computers can be used to represent a bunch of different solutions to a problem all at the same time, and then collapse down to the optimal solution, the one that actually works,” said Tony Uttley, president and chief operating officer with Quantinuum, a collaboration between Cambridge Quantum and Honeywell Quantum Solutions that is working to drive the future of quantum computing. “And the reason it does that is because of some fabulous properties of quantum physics.”
Establishing a quantum computing beachhead
Scientists around the globe are studying quantum computers looking for ways to harness this technology to make big gains in medicine.
IBM has created the IBM Quantum Network and is partnering with different organizations, from startups to Fortune 500 companies, to develop and test technology in various settings. One of these partnerships with the Cleveland Clinic is set to establish the “Discovery Accelerator,” focused on advancing health care through high-performance computing on the hybrid cloud, quantum computing technologies, and artificial intelligence.
Many people around the country are now using this technology on existing computers by tapping into the cloud, but with limited qubit access. IBM has researchers in places like Germany and Japan working on quantum computers and will be installing the country’s first of IBM’s next-generation 1,000+ qubit quantum systems on the Cleveland Clinic campus, which they are planning to use to help further investigate quantum computing’s many predicted benefits.
But what are those benefits?
Drug discovery and development
Quantum chemistry is one main area quantum computing is poised to help.
“The immediate application of that would be in drug discovery,” said Dr. Jehi. When scientists make drugs, they sit in a lab and develop different chemical formulas for what might constitute that drug.
“But for us to really know if it’s going to work, we need to be able to imagine how that chemical composition will translate into a structure,” she said.
Even in their most powerful form, today’s supercomputers are slow in their ability to change this chemical formula on paper to a simulation of what the chemical compound will look like. And in many cases, they can’t do this type of analysis.
“So, we end up making the drugs without knowing exactly how they’re going to look, which is not really the optimal way of creating a drug you expect to work” explained Dr. Jehi. “It’s a waste of time creating compounds that aren’t going to have any effect.”
Quantum computers will allow researchers to create and see these molecular structures and know how they bind and interact with the human body. In effect, they’ll know if a potential drug will work before ever having to physically make it.
Because of its differences from classic computing, quantum computers are not limited in their ability to simulate how different compounds can appear. Being able to simulate the compounds that drugs are made of can lead to a faster discovery of medications to treat a wide range of conditions.
Disease analysis
Eventually, this technology could assist with disease analysis, working on a molecular level to allow computers/AI to contemplate, for example, cancer molecules and gain a deeper understanding of how they function.
Dr. Jehi said quantum computing can also be used to study things like chronic illnesses. These are conditions that people must live with and manage, and how a person is feeling in this instance can vary day to day, based on things like what a person is eating, the weather, or medications they are taking.
“There are so many different possibilities for what could change a patient’s trajectory in one way versus another,” said Dr. Jehi.
She stressed that, if one has a group of patients, and everything that’s happened to them along their disease journey has been captured, it’s very challenging to mimic what that group looks like, and then study the effects of these different interventions on it using traditional computing.
“It just gets way too complicated, and the computers that we have can’t keep up with analyzing the effects of the different possibilities. It gets jumbled up,” Dr. Jehi said.
But quantum computing can offer quantum machine learning, meaning you use this special quantum ability to handle different simulations and different possibilities.
The Cleveland Clinic, for instance, is looking at how some patients who undergo general surgeries have heart complications after their procedures.
“It would be transformative if we could identify ahead of time who is at highest risk of having a heart attack after surgery, as so we could take care of those people better,” she said.
The clinic’s current data set includes records for 450,000 patients, and current AI/machine learning makes sifting through this very slow and complex. The clinic is using machine learning approaches to create a synthetic data set, a smaller group that is a replica of the much larger one. Quantum technology could improve and speed this analysis to produce models that better perform.
Disease detection
“Imagine you go get a CT scan,” said Mr. Uttley. “There are already AI solutions that you can run that set of images through and ask: ‘Does this look like something that would be cancer?’ ” This existing technology works well on things that are typical and have been identified before, because that’s how machine learning works. If AI has seen something 100,000 times, it can often find something else that looks like it.
But today’s classical computers aren’t equipped to identify something unfamiliar. “Those are places where quantum computers can be much better at thinking of images and being able to say: ‘I can detect rare cancers or rare conditions that you don’t have a huge library of things that look like that,’ ” Mr. Uttley said.
This is also where researchers can use a quantum computer to be able to figure out what things could look like.
“The beauty of quantum computing is that it is a bias formation in quantum physics, this more probabilistic design. And so you can take advantage of that probabilistic design to help them think about this,” Mr. Uttley said.
How far out are we?
Mr. Uttley said we’re in an emergent era of quantum computing. Quantum computers exist and that’s a big deal, but a lot of this technology is still in fairly early stages.
“It’s a little bit like we’re at the beginning of the internet and saying, how are things going to play out,” he explained.
Right now, companies like Quantinuum are striving to perform computations on both a quantum and classic computer, compare the results, and say: “We’re getting the same answer.”
“So, this is the era where we’re able to build trust and say these quantum computers are actually working correctly,” Mr. Uttley explained.
In the future, he said, we can possibly imagine something like a quantum MRI that is able to understand your body in a way that transmits that data to a quantum computer to detect what’s wrong, and be able to tell the difference between cancerous and noncancerous. That will allow faster treatments and tailoring them to specific patient populations.
“What we’re doing today might seem slightly less sexy than that, but is maybe even equally important,” said Mr. Uttley.
This is using quantum computers to make the best encryption keys that can be made. The medical community, which is already using quantum computing to execute this, is excited about this being a better means of keeping patient data as secure as possible.
In June, Quantinuum launched InQuanto, which is quantum computing software that is allowing computational chemists, who, until now, only had classical computers at their fingertips. The move created an opportunity to start thinking about the problems that they worked on and what they would do with a quantum computer. As quantum computers become higher performing over the years, Mr. Uttley said the software will go from tasks like isolating one molecule to solving larger problems.
“That will happen over this next decade, where I think we’ll see the first kind of real use cases come out in the next likely 2 to 3 years,” he said. For now, this technology will likely be used in tandem with classical computers.
Mr. Uttley said that progress in the quantum world and medicine will continue to grow at a slow and steady pace, and in years to come, we’ll likely see things start to click and then eventually take off “full force.”
A version of this article first appeared on WebMD.com.
The 1960s marked the arrival of computers in medicine. Expensive, cumbersome hunks of plastic and metal that could (maybe) get test results to a doctor faster. The 1980s saw the first real difference-making functions computers could offer – clinical, financial, administrative – and in 1991, the Institute of Medicine published the first manifesto on what electronic health records could (and would) be.
Since then, we’ve seen computer breakthroughs across all areas of medicine, with artificial intelligence (AI), virtual reality, and telemedicine brought to the fore. But something else is brewing that not a lot of people know about yet:
“Think of it as transitioning from getting light through fire and candles and now having electricity, and there’s a light bulb that is lighting it all,” said Lara Jehi, MD, Cleveland Clinic’s chief research information officer.
What is quantum computing?
Classical computers (aka binary computers), which are the foundation of today’s devices, including artificial intelligence and machine learning, work by using information known as bits. These appear as 0 or 1 (sometimes defined as off/on or false/true).
Quantum computers, on the other hand, use quantum bits known as qubits. And yes, the definition of “quantum” – as in: very, very small – applies.
International Business Machines, more commonly known as IBM, is currently leading this new tech. A common misconception about quantum computers is that they are “a next evolution of computers that will get faster,” said Frederik Flöther, PhD, life sciences and health care lead with IBM Quantum Industry Consulting. Instead, he wants us to look at quantum computing as something completely new “because it is fundamentally a different hardware, a different software, not just an evolution of the same.”
How does it work differently from existing computers? Quantum computing deals in nature. Therefore, qubits have to be based on the natural world. What does that mean? Nobel Prize-winning physicist Richard Feynman was famously quoted as saying: “Nature isn’t classical, dammit, and if you want to make a simulation of nature, you’d better make it quantum mechanical, and by golly it’s a wonderful problem, because it doesn’t look so easy.”
Nature, said Dr. Jehi, doesn’t work in black and white or fit into boxes.
“We have to convert it to zeros and ones because that’s what computers speak,” she explained. But quantum computing uses the principles of quantum mechanics. “It’s exactly how nature works, because it is based on the fundamental unit of everything in nature, which is atomic structure.”
Very, very small indeed. And that’s why quantum computing could be game-changing tech in medicine.
“Quantum computers can be used to represent a bunch of different solutions to a problem all at the same time, and then collapse down to the optimal solution, the one that actually works,” said Tony Uttley, president and chief operating officer with Quantinuum, a collaboration between Cambridge Quantum and Honeywell Quantum Solutions that is working to drive the future of quantum computing. “And the reason it does that is because of some fabulous properties of quantum physics.”
Establishing a quantum computing beachhead
Scientists around the globe are studying quantum computers looking for ways to harness this technology to make big gains in medicine.
IBM has created the IBM Quantum Network and is partnering with different organizations, from startups to Fortune 500 companies, to develop and test technology in various settings. One of these partnerships with the Cleveland Clinic is set to establish the “Discovery Accelerator,” focused on advancing health care through high-performance computing on the hybrid cloud, quantum computing technologies, and artificial intelligence.
Many people around the country are now using this technology on existing computers by tapping into the cloud, but with limited qubit access. IBM has researchers in places like Germany and Japan working on quantum computers and will be installing the country’s first of IBM’s next-generation 1,000+ qubit quantum systems on the Cleveland Clinic campus, which they are planning to use to help further investigate quantum computing’s many predicted benefits.
But what are those benefits?
Drug discovery and development
Quantum chemistry is one main area quantum computing is poised to help.
“The immediate application of that would be in drug discovery,” said Dr. Jehi. When scientists make drugs, they sit in a lab and develop different chemical formulas for what might constitute that drug.
“But for us to really know if it’s going to work, we need to be able to imagine how that chemical composition will translate into a structure,” she said.
Even in their most powerful form, today’s supercomputers are slow in their ability to change this chemical formula on paper to a simulation of what the chemical compound will look like. And in many cases, they can’t do this type of analysis.
“So, we end up making the drugs without knowing exactly how they’re going to look, which is not really the optimal way of creating a drug you expect to work” explained Dr. Jehi. “It’s a waste of time creating compounds that aren’t going to have any effect.”
Quantum computers will allow researchers to create and see these molecular structures and know how they bind and interact with the human body. In effect, they’ll know if a potential drug will work before ever having to physically make it.
Because of its differences from classic computing, quantum computers are not limited in their ability to simulate how different compounds can appear. Being able to simulate the compounds that drugs are made of can lead to a faster discovery of medications to treat a wide range of conditions.
Disease analysis
Eventually, this technology could assist with disease analysis, working on a molecular level to allow computers/AI to contemplate, for example, cancer molecules and gain a deeper understanding of how they function.
Dr. Jehi said quantum computing can also be used to study things like chronic illnesses. These are conditions that people must live with and manage, and how a person is feeling in this instance can vary day to day, based on things like what a person is eating, the weather, or medications they are taking.
“There are so many different possibilities for what could change a patient’s trajectory in one way versus another,” said Dr. Jehi.
She stressed that, if one has a group of patients, and everything that’s happened to them along their disease journey has been captured, it’s very challenging to mimic what that group looks like, and then study the effects of these different interventions on it using traditional computing.
“It just gets way too complicated, and the computers that we have can’t keep up with analyzing the effects of the different possibilities. It gets jumbled up,” Dr. Jehi said.
But quantum computing can offer quantum machine learning, meaning you use this special quantum ability to handle different simulations and different possibilities.
The Cleveland Clinic, for instance, is looking at how some patients who undergo general surgeries have heart complications after their procedures.
“It would be transformative if we could identify ahead of time who is at highest risk of having a heart attack after surgery, as so we could take care of those people better,” she said.
The clinic’s current data set includes records for 450,000 patients, and current AI/machine learning makes sifting through this very slow and complex. The clinic is using machine learning approaches to create a synthetic data set, a smaller group that is a replica of the much larger one. Quantum technology could improve and speed this analysis to produce models that better perform.
Disease detection
“Imagine you go get a CT scan,” said Mr. Uttley. “There are already AI solutions that you can run that set of images through and ask: ‘Does this look like something that would be cancer?’ ” This existing technology works well on things that are typical and have been identified before, because that’s how machine learning works. If AI has seen something 100,000 times, it can often find something else that looks like it.
But today’s classical computers aren’t equipped to identify something unfamiliar. “Those are places where quantum computers can be much better at thinking of images and being able to say: ‘I can detect rare cancers or rare conditions that you don’t have a huge library of things that look like that,’ ” Mr. Uttley said.
This is also where researchers can use a quantum computer to be able to figure out what things could look like.
“The beauty of quantum computing is that it is a bias formation in quantum physics, this more probabilistic design. And so you can take advantage of that probabilistic design to help them think about this,” Mr. Uttley said.
How far out are we?
Mr. Uttley said we’re in an emergent era of quantum computing. Quantum computers exist and that’s a big deal, but a lot of this technology is still in fairly early stages.
“It’s a little bit like we’re at the beginning of the internet and saying, how are things going to play out,” he explained.
Right now, companies like Quantinuum are striving to perform computations on both a quantum and classic computer, compare the results, and say: “We’re getting the same answer.”
“So, this is the era where we’re able to build trust and say these quantum computers are actually working correctly,” Mr. Uttley explained.
In the future, he said, we can possibly imagine something like a quantum MRI that is able to understand your body in a way that transmits that data to a quantum computer to detect what’s wrong, and be able to tell the difference between cancerous and noncancerous. That will allow faster treatments and tailoring them to specific patient populations.
“What we’re doing today might seem slightly less sexy than that, but is maybe even equally important,” said Mr. Uttley.
This is using quantum computers to make the best encryption keys that can be made. The medical community, which is already using quantum computing to execute this, is excited about this being a better means of keeping patient data as secure as possible.
In June, Quantinuum launched InQuanto, which is quantum computing software that is allowing computational chemists, who, until now, only had classical computers at their fingertips. The move created an opportunity to start thinking about the problems that they worked on and what they would do with a quantum computer. As quantum computers become higher performing over the years, Mr. Uttley said the software will go from tasks like isolating one molecule to solving larger problems.
“That will happen over this next decade, where I think we’ll see the first kind of real use cases come out in the next likely 2 to 3 years,” he said. For now, this technology will likely be used in tandem with classical computers.
Mr. Uttley said that progress in the quantum world and medicine will continue to grow at a slow and steady pace, and in years to come, we’ll likely see things start to click and then eventually take off “full force.”
A version of this article first appeared on WebMD.com.