AI Accurately Sorts Lung Cancer Patients by Survival Odds

AI Accurately Sorts Lung Cancer Patients by Survival Odds

A new machine learning method developed by researchers at Weill Cornell Medicine could transform how clinicians group patients for treatment or clinical trials. The study, published in Nature Communications, introduces a tool that identifies “predictive subphenotypes” from electronic health records—clusters of patients with both shared clinical features and similar survival outcomes. Toward more precise oncology stratification Treatment outcomes…

FaceAge AI Tool Surpasses Doctors with 81% Accuracy in Cancer Survival Prediction

FaceAge, a face-reading AI tool that estimates biological age from facial photographs, predicts cancer outcomes with an impressive 81% accuracy rate. This surpasses traditional methods and outperforms doctors in survival assessments. Developed by researchers at Mass General Brigham, FaceAge shows early promise in predicting short-term life expectancy. The findings suggest the AI tool can identify high-risk patients and provide a low-cost, access…