New AI model trained on 40 million facial images can estimate biological age
Mass General Brigham researchers trained a new AI foundation model on more than 40 million facial images, and used it to develop AI tools to estimate biological age and directly predict survival risk in patients with cancer
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A Mass General Brigham study describes FAHR-Face, an AI foundation model trained on over 40 million facial images to estimate biological age and predict survival risk in cancer patients. Clinicians and researchers might visit to learn how face photographs can provide quantitative, scalable biomarkers for personalized treatment decisions and see links to the Lancet Digital Health study and a public
- Estimates biological age more accurately than prior algorithms
- Predicts cancer survival risk directly from a face photograph
- Try the FaceAge research tool by uploading a photo for a readout
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