AI Tool Uses Facial Images to Predict Age and Cancer Risk

**AI Tool Predicts 'Facial Age,' Potentially Detecting Cancer Risk** New York, NY (12.05.2025) — A groundbreaking AI tool developed at Mass General Brigham is generating significant interest for its ability to assess biological age based on facial features. This technology, called 'Face Age,' analyzes a headshot to estimate a person's biological age, potentially identifying individuals at higher risk for cancer. Researchers have discovered that many cancer patients exhibit facial aging that is about five years ahead of their healthier peers. "Face Age promises the same results as genetic DNA tests, using only a selfie," explains a presenter from New York's Z100 radio, highlighting the technology's accessibility. The implications of this development are considerable. Early detection of cancer is crucial for effective treatment and survival, and this non-invasive method could revolutionize early diagnosis. The technology considers various lifestyle factors influencing aging rates, including genetics, stress levels, exercise habits, smoking, and alcohol consumption. The tool's potential to improve cancer detection and prevention is a significant step forward in healthcare. Further research and clinical trials will be necessary to fully validate its accuracy and effectiveness.