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AI Reads Your Face to Predict Cancer Survival
29 Apr
Summary
- AI tool FaceAge estimates biological age from a single photograph.
- Face Aging Rate (FAR) tracks changes in biological age over time.
- Higher FAR linked to lower survival rates in cancer patients.
Scientists have developed an artificial intelligence tool that analyzes changes in facial appearance to predict cancer outcomes. This AI, called FaceAge, estimates a person's biological age from a single photograph, offering insights into their health status.
Previously, researchers found cancer patients appeared biologically older than their chronological age, correlating with worse survival. A new study introduces Face Aging Rate (FAR), which measures how biological age changes over time using routine facial photographs. Analysis of over 2,000 cancer patients revealed that their faces aged approximately 40% faster than their chronological age.
This Face Aging Rate (FAR) proved to be a significant predictor of survival, with higher rates linked to poorer outcomes, particularly when photos were taken over two years apart. The study suggests FAR can refine personalized treatment, improve patient counseling, and guide follow-up care in oncology. The research team also noted that combining FAR with FaceAge Deviation (FAD), which measures a single photo's deviation from chronological age, offers a more nuanced health assessment.
