Researchers develop prostate cancer prediction tool that has unmatched accuracy

Researchers have developed a novel machine-learning framework that distinguishes between low- and high-risk prostate cancer with more precision than ever before. The framework is intended to help physicians — in particular, radiologists — more accurately identify treatment options for prostate cancer patients, lessening the chance of unnecessary clinical intervention.

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Now Dr. Jack Straw is in charge of the website, and organizes it so that medical care is available to everyone. In addition, he is an active member of the medical community, regularly attending international conferences and sharing his experience and knowledge. Dr. Straw is not only a medical professional and website manager, but also a loving husband and father of his beautiful children.
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