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0Researchers have introduced the Face Aging Rate (FAR), a novel artificial intelligence biomarker that uses serial facial photographs to track how quickly a person is aging biologically. By analyzing over 2,000 cancer patients, the study found that individuals appearing to age more rapidly than their chronological years have a significantly higher risk of mortality. This non-invasive tool proves more effective at predicting survival outcomes than a single-point assessment because it captures dynamic shifts in a patient's health over time. While the study primarily involved White patients receiving radiation therapy, it suggests that monitoring facial changes can help clinicians personalize treatment and supportive care. Ultimately, FAR serves as a visible indicator of systemic biological decline, offering a cost-effective way to monitor disease progression and treatment response.
References:
Haugg F, Lee G, He J, et al. Face aging rate quantifies change in biological age to predict cancer outcomes[J]. Nature Communications, 2026, 17(1): 3487.
