{
  "id": 15800256,
  "title": "A photo of your face could reveal how likely you are to survive cancer, new study finds",
  "url": "https://urgent.news/2026/10/20/a-photo-of-your-face-could-reveal-how-likely-you-are-to-survive",
  "topic": "health",
  "section": "Health & Medicine",
  "published": "2026-10-20T20:00:16.000Z",
  "source": {
    "name": "Fast Company",
    "slug": "fast-company",
    "url": "https://www.fastcompany.com/91626954/a-photo-of-your-face-could-reveal-how-likely-you-are-to-survive-cancer-new-study-finds"
  },
  "original_language": "en",
  "account": "A new study published in Lancet Digital Health reveals that a simple facial photograph may be able to predict a cancer patient's likelihood of survival. The breakthrough comes from an AI model called FAHR-FaceSurvival, which was developed by researchers at Mass General Brigham. This tool, trained on over 40 million general photos of faces and 30,000 facial images of cancer patients, demonstrated its accuracy by predicting mortality risk based on the facial features below the eyes and around the nose bridge.\n\nThe study found that patients in the top 10% with the highest scores on the FAHR-FaceSurvival tool were five times more likely to die within three months compared to those with the lowest scores. While the exact reasons behind the AI system's findings remain unclear, the research suggests that facial biomarkers, such as those captured in these photos, may provide valuable insights into a person's health.\n\nThis is not the first study to explore the potential of facial data in medical predictions. Another tool called FAHR-FaceAge, developed by the same research team, can estimate a person's biological age based on facial characteristics. The two tools complement each other, with the facial age tool providing additional context when used alongside the cancer survival prediction tool. The researchers also noted that smoking was the most significant factor associated with facial aging, as current smokers appeared older than former smokers and non-smokers.\n\nThe study's lead author, Hugo Aerts, emphasized the potential of facial health recognition AI to advance the field of medical assessments. As the population ages, physicians need more quantitative and scalable ways to estimate physical reserve and frailty, which could inform personalized treatment decisions. However, the study cautions that this technology should complement, not replace, the judgment of medical professionals.",
  "summary": "A photo of your face could tell doctors how long you have left to live. The breakthrough is just the latest science fiction-adjacent development courtesy of AI ’s immense capacity for crunching data. In the new study, published in Lancet Digital Health , researchers describe how they leveraged a novel AI model to predict mortality risk in cancer patients. The tool, known as FAHR-FaceSurvival…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}