{"version":1,"type":"story","url":"https://digestai.news/story/mass-general-brigham-s-ai-predicts-cancer-survival-from-a-selfie-study","json":"https://digestai.news/story/mass-general-brigham-s-ai-predicts-cancer-survival-from-a-selfie-study.json","markdown":"https://digestai.news/story/mass-general-brigham-s-ai-predicts-cancer-survival-from-a-selfie-study.md","slug":"mass-general-brigham-s-ai-predicts-cancer-survival-from-a-selfie-study","headline":"Mass General Brigham's AI predicts cancer survival from a selfie, study suggests","summary":"Doctors at Mass General Brigham have built an artificial‑intelligence system that can estimate a cancer patient’s biological age and directly predict survival risk from a single facial photograph. The tool, described in a Lancet Digital Health paper, includes two algorithms – FAHR‑FaceAge and FAHR‑FaceSurvival – that were trained on more than 40 million diverse face images and focus on different facial regions for age and mortality predictions. \n\nIn a cohort of radiotherapy patients, those whose faces appeared five or more years older than their chronological age faced a 21% higher risk of death over an average four‑year follow‑up, while those appearing five or more years younger had a 17% lower risk. Researchers say lifestyle factors such as heavy alcohol use, drug use and smoking were linked to older‑looking faces. The authors caution that further validation is needed before the approach can be used widely, but suggest it could become a low‑cost, scalable aid for personalising cancer treatment decisions.","keyPoints":["FAHR-FaceAge estimates biological age and predicts cancer survival from a single facial photograph.","Patients appearing ≥5 years older than their chronological age had a 21% higher four‑year mortality risk in the study.","The model was trained on over 40 million diverse facial images and uses distinct facial regions for age and survival predictions."],"whyItMatters":"If validated, selfie‑based biological age and survival estimates could give clinicians a low‑cost, scalable way to assess frailty and personalize cancer treatment decisions.","category":{"slug":"research","name":"Research","url":"https://digestai.news/category/research"},"entities":{"companies":["Mass General Brigham"],"models":["FAHR-FaceAge","FAHR-FaceSurvival"],"people":["Hugo Aerts","Raymond Mak"]},"firstPublishedAt":"2026-10-19T22:30:08Z","updatedAt":"2026-10-19T22:30:08Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"The Guardian AI","title":"New AI tool can predict cancer survival by a single patient selfie, study suggests","url":"https://theguardian.com/technology/2026/oct/19/ai-tool-predict-cancer-survival-patient-selfie","publishedAt":"2026-10-19T22:30:08Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Mass General Brigham's AI predicts cancer survival from a selfie, study suggests\", 19 October 2026, https://digestai.news/story/mass-general-brigham-s-ai-predicts-cancer-survival-from-a-selfie-study","publisher":"Digest AI","title":"Mass General Brigham's AI predicts cancer survival from a selfie, study suggests","datePublished":"2026-10-19T22:30:08Z","url":"https://digestai.news/story/mass-general-brigham-s-ai-predicts-cancer-survival-from-a-selfie-study"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}