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Prediction of overall survival for patients with metastatic castration-resistan...

Guinney, Justin; Wang, Tao; Laajala, Teemu D.; Winner, Kimberly Kanigel; Bare, J. Christopher; Neto, Elias Chaibub; Khan, Suleiman A.; Peddinti, Gopal

Background: Improvements to prognostic models in metastatic castration-resistant prostate cancer have the potential to augment clinical trial design and guide treatment strategies. In partnership with Project Data Sphere, a not-for-profit initiative allowing data from cancer clinical trials to be shared broadly with researchers, we designed an open-data, crowdsourced, DREAM (Dialogue for Reverse Engineering Ass...

Date: 2017   |   Origin: RepositóriUM - Universidade do Minho
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