Patients with faces that aged rapidly between radiotherapy treatments according to the tool had a decreased chance of survival, according to the study in Nature Communications.
The FaceAge algorithm captures dynamic changes in facial aging from photographs, offering a visible manifestation of the complex interplay between aging, cancer, and survival.
FaceAge assessments could therefore offer a dynamic, simple, accessible and non-invasive biomarker for cancer prognosis, which could be used to stratify risk and tailor treatment planning in oncology.
Specifically, a higher FAR is associated with an increased risk of death over different timeframes in stratified analyses.
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