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AI Tool FaceAge Published in Lancet, Validates Selfie-Based Biological Age Predictions

FaceAge, developed by Mass General Brigham, offers a low-cost method to estimate biological age and predict cancer survival outcomes, with ongoing research into broader applications and ethical safeguards.

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Overview

  • FaceAge uses AI to analyze facial photographs, estimating biological age as a biomarker for health and survival predictions.
  • A study published in The Lancet Digital Health validated the tool on 6,200 cancer patients, showing biological ages averaged five years older than chronological ages.
  • Higher FaceAge scores correlated with worse survival outcomes, especially for patients with biological ages exceeding 85 years.
  • FaceAge outperformed clinicians in predicting short-term life expectancy in palliative radiotherapy, enhancing decision support in treatment planning.
  • Researchers are refining the tool with expanded datasets, exploring factors like cosmetic interventions, and addressing ethical concerns to ensure responsible use.