A team of scientists at Mass General Brigham has created an AI model named FaceAge that predicts biological age from facial images of cancer patients. This model, based on analyzing nearly 59,000 portraits, suggests that biological ageâreflecting cellular healthâcan significantly impact treatment outcomes. Specifically, participants perceived as younger by the AI tended to fare better after cancer treatment. However, ethical concerns and reliability challenges remain regarding the application of this technology in clinical settings, particularly for tailored treatment approaches.
The AI model, FaceAge, can predict biological age from facial photos, offering potential insights into cancer treatment outcomes based on aging at the cellular level.
Participants judged as younger by the AI model displayed better post-treatment results compared to those assessed as older, suggesting biological age influences cancer recovery.
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