AI-Powered Predictive Model for Early Detection of Disease Progression using Patient Health Data
Routine clinical metrics may miss subtle physiological variations that occur before clinically evident disease progression, delaying preventive intervention. This study presents an AI-powered predictive model trained on 4,567 de-identified longitudinal patient records containing 36 structured clinical variables, 14 lab...