Early prediction of prostate cancer risk in younger men using polygenic risk scores and electronic health records

Abstract

This study provides the first preliminary evidence for the use of PRSs with patient data in a ML algorithm for PCa risk prediction in men aged 55 and under for whom screening is not standard practice.