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Mass General Brigham begins second round of large-scale layoffs

Mass General Brigham begins second round of large-scale layoffs

Boston Globe10-03-2025

'This decision was reached by clinical, academic and administrative leaders from across our system after thoughtfully considering the current healthcare landscape and our poor financial performance over the past several years,' Klibanski said. 'As we look to the future, we will continue to build a culture of resource stewardship and financial sustainability that enables us to withstand the unrelenting pressures facing healthcare systems everywhere and allows us to continue with critical planned and future investments to support our patients, our care teams and our mission.'
She added that the organization would treat all employees with dignity and respect: 'We all feel a sense of loss when valued colleagues depart.' A spokesperson added that all laid-off workers would receive benefits coverage and market-competitive severance packages.
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The cuts in workforce have added to the uncertainty that many employees
have voiced in recent weeks.
'Who is going to do that work? Are you going to dump it on people already buckling under?' said Dr. Peter Grinspoon, a primary care physician at Massachusetts General Hospital. 'Any organization has to be mindful of who they are employing and is it efficient and worthwhile. But you can't just lay off 1,200 people. These people were all doing something … They were helping with the team-based medicine we all need to practice to make it doable.'
With such a sprawling organization including 26 hospitals and other entities spread across 400 locations, it is difficult to assess where layoffs were targeted, or even how many people it will ultimately affect. The organization has repeatedly declined to specify final numbers. Given how disperse the layoffs have been and occurring in multiple waves, the reductions have not
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However sources suggest approximately 1,500 positions will ultimately be affected, out of 82,000 employees. Similarly, the expense reduction is looking to save approximately 2 percent of MGB's salary and benefits costs.
Executives have previously said the reductions would be primarily focused on administrative and management levels, and would not affect front-line clinical workers or staff that supportpatient-facing care. Two doctors who help oversee the care of patients involved in clinical trials, though, said
'You just don't know who is going to be laid off,' Grinspoon said. 'It hurts morale to have this Damocles [sword] hanging over your head.'
Frustrations go far beyond the disruptions and uncertainty of the layoffs. Many physicians are burned out, so much so that nearly 300 of MGB's primary care physicians in November signed documents to unionize. Frustrations range from the massive demands placed on primary care physicians
'
time to the increasing 'corporatization' of medicine, in which front
-
line physicians feel they have less of a voice.
The layoffs have added to the overall chaos, Grinspoon said. Consolidation is stepping on toes, as longtime department heads have had to fight for the job they've held for decades. Other employees don't have faith that integration will make things better because for the last several years, things have gotten progressively harder. Doctors make less but are expected to care for more patients, and there is far more work to do for each patient.
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'No one has faith in leadership,' Grinspoon said, adding: 'You can't do (integration) if most of your staff don't trust or believe in you in the first place.'
Leadership has pressed that the integration is necessary to improve patient care and streamline operations across its 12 hospitals. A spokesperson added Monday that the reductions would enhance efficiency, reduce costs, and maximize support for frontline clinicians.
'This decision is necessary despite years of diligently promoting a culture of responsible resource stewardship and developing initiatives that generate diversified sources of revenue,' said Jennifer Street, a spokesperson for Mass General Brigham.
Consolidation efforts have been underway for years, setting out a transformation of what had been a collection of often-competitive hospitals to one of a unified system. The effort began in 2019, with a rebranding from what used to be Partners HealthCare to Mass General Brigham. Since, leadership has slowly been rethinking jobs and eliminating roles through attrition.
The signs of financial challenges have started to appear in reported financials. Though the organization has posted positive operating margins in
The system's investment portfolio helped propel the bottom line to $281.7 million in net margin, a figure that experts have pointed to as a marker of resiliency. But earnings on that money are largely either restricted by donors to certain uses or earmarked to capital projects, executives have previously said.
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Jessica Bartlett can be reached at

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AI tool scans faces to predict biological age and cancer survival
AI tool scans faces to predict biological age and cancer survival

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AI tool scans faces to predict biological age and cancer survival

A simple selfie could hold hidden clues to one's biological age — and even how long they'll live. That's according to researchers from Mass General Brigham, who developed a deep-learning algorithm called FaceAge. Using a photo of someone's face, the artificial intelligence tool generates predictions of the subject's biological age, which is the rate at which they are aging as opposed to their chronological age. Music Conductor With Parkinson's Sees Symptoms Improve With Deep Brain Stimulation FaceAge also predicts survival outcomes for people with cancer, according to a press release from MGB. The AI tool was trained on 58,851 photos of "presumed healthy individuals from public datasets," the release stated. Read On The Fox News App To test the tool's accuracy, the researchers used it to analyze photos of 6,196 cancer patients taken before radiotherapy treatment. Among the people with cancer, the tool generated a higher biological age that was about five years higher than their chronological age. Paralyzed Man With Als Is Third To Receive Neuralink Implant, Can Type With Brain The researchers also tested the tool's ability to predict the life expectancy of 100 people receiving palliative care based on their photos, then compared it to 10 clinicians' predictions. FaceAge was found to be more accurate than the clinicians' predictions. The researchers' findings were published in The Lancet Digital Health. "We can use artificial intelligence to estimate a person's biological age from face pictures, and our study shows that information can be clinically meaningful," said co-senior and corresponding author Hugo Aerts, PhD, director of the Artificial Intelligence in Medicine (AIM) program at Mass General Brigham, in the release. "This work demonstrates that a photo like a simple selfie contains important information that could help to inform clinical decision-making and care plans for patients and clinicians," he went on. Woman Says Chatgpt Saved Her Life By Helping Detect Cancer, Which Doctors Missed "How old someone looks compared to their chronological age really matters — individuals with FaceAges that are younger than their chronological ages do significantly better after cancer therapy." The goal is for the tool to help eliminate any bias that may influence a doctor's care decisions based on the perception of a patient's appearance and age. The researchers noted that more research is needed before the tool could be rolled out for clinical use. Future studies will include different hospitals and cancer patients at various stages of the disease, according to the release. Researchers will also evaluate FaceAge's ability to predict diseases, general health status and lifespan. "This opens the door to a whole new realm of biomarker discovery from photographs, and its potential goes far beyond cancer care or predicting age," said co-senior author Ray Mak, MD, a faculty member in the AIM program at Mass General Brigham, in the release. "As we increasingly think of different chronic diseases as diseases of aging, it becomes even more important to be able to accurately predict an individual's aging trajectory. I hope we can ultimately use this technology as an early detection system in a variety of applications, within a strong regulatory and ethical framework, to help save lives." Dr. Harvey Castro, a board-certified emergency medicine physician and national speaker on artificial intelligence based in Dallas, Texas, was not involved in FaceAge's development but shared his comments on the tool. Are Full-body Scans Worth The Money? Doctors Share What You Should Know "As an emergency physician and AI futurist, I see both the promise and peril of AI tools like FaceAge," he told Fox News Digital. "What excites me is that FaceAge structures the clinical instinct we call the 'eyeball test' — a gut sense of how sick someone looks. Now, machine learning can quantify that assessment with surprising accuracy." Castro predicts that FaceAge could help doctors better personalize treatment plans or prioritize palliative care in oncology — "where resilience matters more than a birthdate." The doctor emphasized, however, that caution is key. "AI models are only as good as the data they're trained on," Castro noted. "If the training data lacks diversity, we risk producing biased results." "While FaceAge may outperform clinicians in some survival predictions, it should augment human judgment, not override it." Click Here To Sign Up For Our Health Newsletter Castro also cautioned about potential ethical concerns. "Who owns the facial data? How is it stored? Do patients understand what's being analyzed? These questions matter as much as the technology itself," he said. There is also a psychological impact of the tool, Castro noted. "Being told you 'look older' than your age could influence treatment decisions or self-perception in ways we don't yet fully understand," he said. "We need clear consent, data privacy and sensitivity. No one wants to be told they look older without context." For more Health articles, visit The bottom line, according to Castro, is that AI can enhance a doctor's judgment, but cannot replace it. "AI can enhance our care — but it cannot replace the empathy, context and humanity that define medicine."Original article source: AI tool scans faces to predict biological age and cancer survival

AI tool scans faces to predict biological age and cancer survival
AI tool scans faces to predict biological age and cancer survival

Yahoo

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AI tool scans faces to predict biological age and cancer survival

A simple selfie could hold hidden clues to one's biological age — and even how long they'll live. That's according to researchers from Mass General Brigham, who developed a deep-learning algorithm called FaceAge. Using a photo of someone's face, the artificial intelligence tool generates predictions of the subject's biological age, which is the rate at which they are aging as opposed to their chronological age. Music Conductor With Parkinson's Sees Symptoms Improve With Deep Brain Stimulation FaceAge also predicts survival outcomes for people with cancer, according to a press release from MGB. The AI tool was trained on 58,851 photos of "presumed healthy individuals from public datasets," the release stated. Read On The Fox News App To test the tool's accuracy, the researchers used it to analyze photos of 6,196 cancer patients taken before radiotherapy treatment. Among the people with cancer, the tool generated a higher biological age that was about five years higher than their chronological age. Paralyzed Man With Als Is Third To Receive Neuralink Implant, Can Type With Brain The researchers also tested the tool's ability to predict the life expectancy of 100 people receiving palliative care based on their photos, then compared it to 10 clinicians' predictions. FaceAge was found to be more accurate than the clinicians' predictions. The researchers' findings were published in The Lancet Digital Health. "We can use artificial intelligence to estimate a person's biological age from face pictures, and our study shows that information can be clinically meaningful," said co-senior and corresponding author Hugo Aerts, PhD, director of the Artificial Intelligence in Medicine (AIM) program at Mass General Brigham, in the release. "This work demonstrates that a photo like a simple selfie contains important information that could help to inform clinical decision-making and care plans for patients and clinicians," he went on. Woman Says Chatgpt Saved Her Life By Helping Detect Cancer, Which Doctors Missed "How old someone looks compared to their chronological age really matters — individuals with FaceAges that are younger than their chronological ages do significantly better after cancer therapy." The goal is for the tool to help eliminate any bias that may influence a doctor's care decisions based on the perception of a patient's appearance and age. The researchers noted that more research is needed before the tool could be rolled out for clinical use. Future studies will include different hospitals and cancer patients at various stages of the disease, according to the release. Researchers will also evaluate FaceAge's ability to predict diseases, general health status and lifespan. 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Doctors Share What You Should Know "As an emergency physician and AI futurist, I see both the promise and peril of AI tools like FaceAge," he told Fox News Digital. "What excites me is that FaceAge structures the clinical instinct we call the 'eyeball test' — a gut sense of how sick someone looks. Now, machine learning can quantify that assessment with surprising accuracy." Castro predicts that FaceAge could help doctors better personalize treatment plans or prioritize palliative care in oncology — "where resilience matters more than a birthdate." The doctor emphasized, however, that caution is key. "AI models are only as good as the data they're trained on," Castro noted. "If the training data lacks diversity, we risk producing biased results." "While FaceAge may outperform clinicians in some survival predictions, it should augment human judgment, not override it." Click Here To Sign Up For Our Health Newsletter Castro also cautioned about potential ethical concerns. "Who owns the facial data? How is it stored? Do patients understand what's being analyzed? These questions matter as much as the technology itself," he said. There is also a psychological impact of the tool, Castro noted. "Being told you 'look older' than your age could influence treatment decisions or self-perception in ways we don't yet fully understand," he said. "We need clear consent, data privacy and sensitivity. No one wants to be told they look older without context." For more Health articles, visit The bottom line, according to Castro, is that AI can enhance a doctor's judgment, but cannot replace it. "AI can enhance our care — but it cannot replace the empathy, context and humanity that define medicine."Original article source: AI tool scans faces to predict biological age and cancer survival

Scientists Claim AI Can Tell Cancer Patients Their Odds of Living by Looking At Their Selfies
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Scientists Claim AI Can Tell Cancer Patients Their Odds of Living by Looking At Their Selfies

Some of us look old for our age, while others look younger. These differences, though, may not just be superficial. Our appearances, youthful or seasoned, could actually be an accurate reflection of what scientists call our "biological age," a form of measuring someone's age by the health of their body's cells, as opposed to counting their years since birth. Exploring this, a team of scientists at Mass General Brigham (MGB) have now developed an AI model that they claim can estimate the biological age of cancer patients simply by analyzing photos of their faces, the New York Times reports, in what could be a game-changing tool in cancer treatment. Huge questions remain, however, about the technology's reliability and its fraught ethical implications. All the same, the AI, dubbed FaceAge, has led to some intriguing findings. As detailed in a new study published in the journal Lancet Digital Health, the researchers found that participants whose faces were judged to be younger by the AI model tended to do better after cancer treatment than those who were judged to be older. Overall, the participants who were suffering from cancer appeared to be five years older than their chronological age, while non-sufferers exhibited a biological age closer to their chronological age. With cancer patients, the AI accurately predicted that those with an older biological age were more likely to die. Doctors could use the tool, the researchers hypothesize, to help determine the best-suited treatment. A spry 75-year-old with a biological age of 65, in an example given by Agence France-Presse, could benefit from aggressive radiation therapy. But that course might be too risky for another man with as many years but a higher biological age. The AI model was trained on nearly 59,000 portraits of adults over 60 taken from public data sets, including sources like IMDB and Wikipedia. Then, to cut its teeth, the researchers had the model estimate the age of the study's roughly 6,200 cancer patients. One of the most surprising finds was that the AI didn't rely as much on what we typically consider signs of aging, like baldness or wrinkles. It placed more stock in subtler clues like facial muscle tone, per the AFP. There's still a long way to go before FaceAge is ready to be used by doctors, with plenty of thorny questions that need addressing. The AI was trained on mostly white faces, which could lead to racial biases in its analyses. It also remains to be seen how makeup, plastic surgery, or even just a change in lighting could foil the AI's predictions. "I'd be very worried about whether this tool works equally well for all populations, for example women, older adults, racial and ethnic minorities, those with various disabilities, pregnant women and the like," Jennifer Miller, co-director of the program for biomedical ethics at Yale University, told the NYT. And in our age of invasive surveillance and dwindling privacy, having a tool that purportedly unearths some secret facet of your biology by scanning your face can feel like another intrusion on our autonomy. What if insurers use a model like FaceAge to justify denying health coverage? "It is for sure something that needs attention, to assure that these technologies are used only in the benefit for the patient," study co-lead author Hugo Aerts, director of MGB's AI in Medicine program, told the AFP. More on medical AI: Apple Quietly Working on AI Agent to "Replica" a Human Doctor

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