UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120)

UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120)

Abstract Renal cell carcinoma (RCC) is most often diagnosed at a localized stage, where surgery is the standard of care. Existing prognostic scores provide moderate predictive performance, leading to challenges in establishing follow-up recommendations after surgery and in selecting patients who cou...

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Bibliographic Details
Main Authors: Gaëlle Margue, Loïc Ferrer, Guillaume Etchepare, Pierre Bigot, Karim Bensalah, Arnaud Mejean, Morgan Roupret, Nicolas Doumerc, Alexandre Ingels, Romain Boissier, Géraldine Pignot, Bastien Parier, Philippe Paparel, Thibaut Waeckel, Thierry Colin, Jean-Christophe Bernhard
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-024-00532-x

Internet

https://doi.org/10.1038/s41698-024-00532-x

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