US EditionAI Tool Estimates Biological Age From Photos to Predict Cancer Outcomes
Researchers found that faster facial aging over treatment was linked to lower survival, and the effect was strongest when photos were taken two years apart.
- Scientists developed an AI tool called FaceAge that estimates cancer patient survival by analyzing changes in facial aging over time, with research published in Nature Communications revealing that accelerated facial aging is linked to lower survival probabilities.
- By calculating the Face Aging Rate from serial photographs, researchers determined biological age changes relative to chronological age, allowing tracking of an individual's health status through routine clinical imagery.
- Analyzing 2,279 patients at Mass General Brigham, researchers found that facial aging outpaced chronological aging by 40% on average, with Higher FAR significantly associated with decreased survival probability.
- Raymond Mak of Mass General Brigham Cancer Institute said: "Deriving a Face Aging Rate from multiple, routine facial photographs allows for near real-time tracking of an individual's health," noting the tool may refine personalized treatment planning.
- Study co-author Hugo Aerts added: "Tracking FaceAge over time from simple photos offers a non-invasive, cost-effective biomarker with potential to inform individuals of their health," as researchers hope to apply this tool to other chronic diseases.
22 Articles
22 Articles
AI tool estimates biological age from photos to predict cancer outcomes
The Mass General Brigham research team behind FaceAge, an artificial intelligence (AI) tool that can estimate a person's biological age from a single photo, is reporting in a new study that estimating biological age from multiple photos taken over time can provide even more information about how well a person with cancer will do with treatment.
AI tool uses face photos to estimate biological age and predict cancer outcomes
Researchers developed FaceAge, an AI tool that calculate's a patient biological age from a photo of their face. In a new study, the researchers tied FaceAge results to health outcomes in people with cancer: When FaceAge estimated a younger age than a cancer patient's chronological age, the patient did significantly better after cancer treatment, whereas patients with older FaceAge estimates had worse survival outcomes.
That someone has developed an application (called FaceAge) that promises to estimate the user's age from a 'selfi' may seem a mere curiosity. However, when something like this appears in a newspaper's Health section it is because there is something else. In this case, that its developers are also researchers at Mass General Brigham Hospital, and that the purpose of the 'app' goes far beyond vanity. The results of their latest study, published in…
AI-Assessed Speed of Facial Aging Was Linked to Cancer Patient Survival Rate: U.S. Researchers Analyzed Photos of 2,279 Patients; Faster Facial Aging Becomes Lower Survival Rate. A study has found that facial photos kept in hospitals for treatment records can serve as clues to reading changes in cancer patients' health. The researchers...
Face photos reveal faster biological aging tied to poorer cancer survival
The Mass General Brigham research team behind FaceAge, an artificial intelligence (AI) tool that can estimate a person's biological age from a single photo, is reporting in a new study that estimating biological age from multiple photos taken over time can provide even more information about how well a person with cancer will do with treatment.
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