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.

Original Article: The Medical News http://bit.ly/2vtn9T2


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