UroPredict is based on data from the UroCCR network to generate algorithms and deploy them nationwide throughout the network for clinical research purposes.

A collaboration between the UroCCR Network and SOPHiA GENETICS has enabled the development and validation of artificial intelligence algorithms based on the UroCCR database. These algorithms quantify the risk of upstaging a kidney tumor classified as cT1-2, on preoperative imaging, to pT3 on anatomopathological analysis, and the risk of relapse after surgery for localized or locally advanced kidney cancer.

These predictive algorithms are freely available: - Quantifying the risk of upstaging a T1-2 stage tumor
- Quantification of the risk of relapse after surgery
UroPredict was the winner of the "Data, AI & Healthcare Pathways" Call for Expressions of Interest led by the Comité Stratégique de Filière des Industries et Technologies de Santé on behalf of the French Government.

Last update of the site: 14/02/2024
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