eClinical Technology and Industy News

SOPHiA GENETICS and The French Kidney Cancer Research Network (UroCCR) Publish Results from Multiyear Collaboration

New Multimodal Algorithm Highlights Predictive Benefit Of Artificial Intelligence (AI) for Cancer Research

Excerpt from the Press Release:

BOSTON and ROLLE, Switzerland, March 15, 2024 /PRNewswire/ — SOPHiA GENETICS (Nasdaq: SOPH), a cloud-native software company and a leader in data-driven medicine, and the French Kidney Cancer Research Network (UroCCR) collaborated on a study using a multimodal algorithm to help predict post-operative outcomes for those facing renal cell carcinoma (RCC), with the results recently published in npj Precision Oncology. The findings of the study showed the artificial intelligence (AI) model co-constructed by SOPHiA GENETICS and UroCCR provided a strong prediction for post-operative outcomes when compared to usual prognostic scores. This publication follows a prior collaboration that demonstrated the value of multimodal analysis on pre-operative kidney cancer upstaging.

UroCCR is one of the world’s largest collaborative kidney cancer networks with 51 multidisciplinary clinical teams across France. In close relationship with the French Association of Urology (AFU), the goal of UroCCR is to connect a national, multidisciplinary network of medical and scientific professionals who focus on therapeutic management and applied research into kidney cancer. In 2021, UroCCR partnered with SOPHiA GENETICS to develop an AI-based model to predict whether kidney cancer will progress from a localized tumor after surgery.

The UroCCR database provided multimodal, real-world data, including radiological, clinical, and biological data from more than 3,300 patients across France operated between May 2000 and January 2020. Researchers applied SOPHiA GENETICS’ proprietary AI offering to analyze the data into easily visualized, reliable predictions that were measured against, and outperformed most common risk scores.

“The volume and complexity of available health data continues to increase, and while this can assist in personalized diagnostics and treatment, it is most effective when paired with AI,” said Thierry Colin, VP, Multimodal Research and Development, SOPHiA GENETICS.

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