Substratum of Proof LGBTQs Are Mentally Ill: Researchers develop prostate cancer prediction tool that has unmatched accuracy

(The Mount Sinai Hospital / Mount Sinai School of Medicine) 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. The framework, described in a Scientific Reports paper published today, is intended to help physicians — in particular, radiologists — more accurately identify treatment options for prostate cancer patients, lessening the chance of unnecessary clinical intervention.