Harvard’s FaceAge AI Predicts Cancer Survival Through Facial Analysis
Harvard researchers have developed FaceAge, an artificial intelligence tool that estimates biological age by analyzing facial features in photographs. Trained on nearly 59,000 images of healthy individuals, the AI demonstrated predictive power when applied to cancer patients—those appearing older than their chronological age faced significantly worse survival outcomes.
The findings suggest facial biomarkers may serve as early indicators of systemic health deterioration. Unlike traditional diagnostic methods, this non-invasive approach could enable rapid risk stratification in clinical settings. The study underscores AI’s expanding role in bridging phenotypic observations with prognostic medicine.