Health
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.
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FaceAge also predicts survival outcomes for people with cancer, according to a press release from MGB.
A simple selfie could hold hidden clues to one’s biological age — and even how long they’ll live. (iStock)
The AI tool was trained on 58,851 photos of “presumed healthy individuals from public datasets,” the release stated.
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.
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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.
Mass General Brigham developed a deep-learning algorithm called FaceAge, which generates predictions of the subject’s biological age from a photo. (Mass General Brigham)
“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.
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“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.
“While FaceAge may outperform clinicians in some survival predictions, it should augment human judgment, not override it.”
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.
To test the tool’s accuracy, the researchers used it to analyze photos of 6,196 cancer patients taken before radiotherapy treatment. (iStock)
“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.”
ER physician on AI
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.
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“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.”
Among the people with cancer, the tool generated a higher biological age that was about five years higher than their chronological age. (iStock)
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.”
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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.
“AI can enhance our care — but it cannot replace the empathy, context and humanity that define medicine.” (iStock)
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.”
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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.”
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An accidental lab discovery has opened the door to entirely new ways of preventing the flu.
While investigating how influenza replicates, researchers discovered that different flu strains use completely different strategies to infiltrate human cells, SWNS reported.
By targeting the specific molecules the viruses rely on, scientists found that they could block them from entering new cells and halt their replication altogether.
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Researchers say these “fundamental insights” into seasonal influenza highlight a clear path toward developing better preventive medications.
“The hope is that fundamental, curiosity-based research like this helps to pave the way for novel strategies to treat and prevent influenza infections,” principal investigator Dr. Emily Bruce, from the University of Vermont’s Larner College of Medicine, said in the SWNS report.
While investigating how influenza replicates, researchers discovered that different flu strains use completely different strategies to infiltrate human cells. (iStock)
While several flu strains cause illness, H1N1 and H3N2 influenza A viruses are the most common. However, current flu tests cannot differentiate between them, and clinical treatments are identical for both.
Although vaccines and antivirals are available, Bruce noted a “dire” need for better medications to stop the virus from spreading cell to xxcell.
“You don’t get sick when a virus is in one cell,” he noted. “You get sick because a virus replicates itself and goes into many more cells.”
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The study, which was published in The Journal of Virology, originally aimed to map how viral RNA segments are transported within cells to create new viral particles.
The team used H1N1 and H3N2 viruses isolated from the nasal passages of positive patients in 2022.
Clinical treatments remain identical for both primary strains of the flu virus. (iStock)
During the investigation, the team unexpectedly stumbled upon a cellular pathway that blocked the virus from entering lung cells, SWNS reported.
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The data revealed that when a specific human protein called Rab11B was depleted, H3N2 viruses failed to enter human lung cells. H1N1 viruses were completely unaffected.
Using reverse genetics, the team mapped this defect and uncovered a brand-new, H3N2-specific role for Rab11B during viral entry.
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This discovery challenged the scientific assumption that all flu viruses enter cells the same way.
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“Viruses are like pirates from different countries hijacking someone’s ship,” Bruce said. “Different viruses, like different types of pirates, use different methods to get onboard.”
This discovery challenged the scientific assumption that all flu viruses enter cells the same way. (iStock)
“We had previously thought that all flu viruses used the same way to get into a cell, but we discovered that this is not true,” she went on. “H1N1 and H3N2 need different proteins to get in, and if you get rid of the right protein, a specific virus can’t get in.”
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While these findings identify a critical cellular pathway for viral entry, the study was conducted using isolated cells, the researchers acknowledged.
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Further research is needed to determine whether blocking the protein is safe and effective within a live, complex human respiratory system.
Bruce and the team hope to conduct further research to determine whether this Rab11B-dependency is a fundamental property of H3N2, or if it’s a trait unique to currently circulating flu strains.
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Eating processed meat like ham, sausage and bacon may be linked to a higher risk of certain types of cancer, according to new research.
While health organizations have already confirmed that processed meat can contribute to colon cancer, this study looked closer at cancers in the upper digestive tract, where the link has historically been less clear.
To understand these connections, researchers from the European Prospective Investigation into Cancer and Nutrition (EPIC), one of the world’s largest long-term nutrition and cancer cohorts, tracked the health and diets of 450,112 people across Europe for an average of 14 years.
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The study group included 131,426 men and 318,686 women, according to the study’s press release.
During the follow-up period, 876 people developed stomach cancer and 215 people developed esophageal adenocarcinoma, which is cancer of the tube connecting the mouth to the stomach.
For female participants, eating both processed meat and white meat was linked to an increased risk of developing the disease. (iStock)
Researchers tracked where the stomach cancers grew, separating them into the upper part of the stomach near the throat and the lower part of the stomach.
The researchers also sorted the tumors into two categories based on how the cancer cells appeared under a microscope: intestinal, which forms more organized structures, and diffuse, in which the cells are more scattered throughout the tissue.
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After adjusting for other lifestyle factors, the researchers found that for every extra 30 grams of processed meat a person ate per day, their overall risk of stomach cancer went up by 9%. Eating that same extra 30 grams a day was also linked to a 13% higher risk of esophageal adenocarcinoma.
A standard single slice of regular deli-sliced ham or lunch meat averages around 28 grams, according to USDA data and nutritional tracking databases.
An extra 20 grams of white meat, such as chicken and turkey, was linked to a 12% higher risk of cancer in the main body of the stomach. (iStock)
An extra 20 grams of white meat, such as chicken or turkey, was linked to a 12% higher risk of cancer in the main body of the stomach, the researchers noted.
The study also revealed differences between men and women. For male participants, only processed meat showed a clear, statistically significant link to a higher risk of stomach cancer. For female participants, however, eating both processed meat and white meat was linked to an increased risk.
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These findings align with global health benchmarks, particularly those established by the World Health Organization’s International Agency for Research on Cancer.
The agency has long classified processed meat as a known human carcinogen, primarily due to its strong, well-documented links to colorectal cancer.
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However, health organizations have also consistently pointed to a potential, yet less definitive, relationship between these meats and cancers of the stomach.
Eating 30 grams of processed meat a day, or the equivalent to one slice of ham, was linked to a 13% higher risk of esophageal adenocarcinoma. (iStock)
Further scientific investigation is needed to confirm the findings and to account for other underlying risk factors, such as certain stomach infections, which could interact with dietary habits.
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A key limitation of the study is its reliance on self-reported diets, which can sometimes lead to inaccuracies in how participants recall their meat consumption over time, the researchers noted.
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The findings were published in the International Journal of Cancer.
Fox News Digital reached out to the researchers requesting comment.
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