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Lancet FaceAge by sarveshmhatre.uk is a document available to read on EtoBox.

The study presents FaceAge, a deep learning system designed to estimate biological age from facial photographs, aiming to enhance prognostic accuracy in cancer patients. Trained on a large dataset, FaceAge demonstrated significant prognostic performance, showing that cancer patients appeared older than their chronological age and improving survival predictions when integrated into clinical models. The findings suggest that facial characteristics can serve as objective biomarkers for biological age, warranti

Author
sarveshmhatre.uk
Language
EN