New prostate cancer prediction tool has unmatched accuracy
A team of researchers from the Icahn School of Medicine at Mount Sinai and Keck School of Medicine at the University of Southern California have developed a novel machine-learning framework that distinguishes between low- and high-risk prostate cancer with more precision than ever before.