AI facial recognition model estimates biological age and predicts cancer survival
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Mass General Brigham researchers have developed FAHR-Face, an AI foundation model trained on more than 40 million facial images, and derived two clinical tools from it: FAHR-FaceAge, which estimates a patient's biological age from a facial photograph, and FAHR-FaceSurvival, which predicts cancer survival. Published in Lancet Digital Health, the tools are intended to help physicians assess age and survival risk and guide personalized treatment decisions. The work is published; clinical adoption and validation in broader patient populations are still open questions.
Written by a model from the reports · updated 3 hours ago
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- Medical XpressPickAI facial health recognition tools help physicians assess age and survival risk to guide personalized treatment
Mass General Brigham researchers built the FAHR-Face foundation model, trained on more than 40 million facial images, and derived two tools from it: FAHR-FaceAge to estimate biological age and FAHR-FaceSurvival to predict cancer survival. The study is published in Lancet Digital Health (DOI: 10.1016/j.landig.2026.101056).
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