Weill Cornell Medicine Experts Presenting at 2021 ASCO GU

San Francisco, CA (UroToday.com) — Poster session begins Thursday, February 11 at 8:00AM ET Prostate Cancer – Advanced Disease Poster Session: Real-world clinical outcomes study of sequential novel antihormonal therapy (NAH) or radium-223 (Ra-223) treatment of metastatic castration-resistant prostate cancer (mCRPC) that progressed after first-line NAH. (Abstract 48)PROSPER subgroup analysis by age and region: Overall survival […]

Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database.

Accurate prognostication is crucial in treatment decisions made for men diagnosed with non-metastatic prostate cancer. Current models rely on prespecified variables, which limits their performance. We aimed to investigate a novel machine learning approach to develop an improved prognostic model for predicting 10-year prostate cancer-specific mortality and compare its performance with existing validated models.

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