SOPHiA GENETICS (Nasdaq: SOPH), a cloud-native software program firm and a frontrunner in data-driven drugs, and the French Kidney Most cancers Analysis Community (UroCCR) collaborated on a research utilizing a multimodal algorithm to assist predict post-operative outcomes for these going through renal cell carcinoma (RCC), with the outcomes lately printed in npj Precision Oncology. The findings of the research confirmed the bogus intelligence (AI) mannequin co-constructed by SOPHiA GENETICS and UroCCR supplied a powerful prediction for post-operative outcomes when in comparison with traditional prognostic scores. This publication follows a prior collaboration that demonstrated the worth of multimodal evaluation on pre-operative kidney most cancers upstaging.
UroCCR is likely one of the world’s largest collaborative kidney most cancers community with 51 multidisciplinary scientific groups throughout France. In shut relationship with the French Affiliation of Urology (AFU), the aim of UroCCR is to attach a nationwide, multidisciplinary community of medical and scientific professionals who give attention to therapeutic administration and utilized analysis into kidney most cancers. In 2021, UroCCR partnered with SOPHiA GENETICS to develop an AI-based mannequin to foretell whether or not kidney most cancers will progress from a localized tumor after surgical procedure.
The UroCCR database supplied multimodal, real-world information, together with radiological, scientific, and organic information from greater than 3,300 sufferers throughout France operated between Could 2000 and January 2020. Researchers utilized SOPHiA GENETICS’ proprietary AI providing to research the info into simply visualized, dependable predictions that had been measured towards, and outperformed, most typical danger scores.
The quantity and complexity of accessible well being information continues to extend, and whereas this could help in personalised diagnostics and therapy, it’s handiest when paired with AI. Our work with UroCCR during the last three years has considerably superior its analysis of RCC and proven the ability of AI to supply insights from real-world multimodal information. We’re extraordinarily happy with the findings from this research and stay up for continued collaboration with UroCCR.”
Thierry Colin, VP, Multimodal Analysis and Growth, SOPHiA GENETICS
SOPHiA GENETICS’ expertise and international decentralized community are designed to interrupt information silos and empower researchers with data-driven insights to drive using precision drugs. The research from UroCCR and SOPHiA GENETICS reveals that an AI-based prediction mannequin has the potential to assist scientific therapy decision-making and supply a sign of which sufferers might probably profit from adjuvant systemic remedy, versus these that may maintain with surveillance.
“At UroCCR, our analysis is centered on the concept a shared database helps facilitate and increase using precision drugs for sufferers going through kidney most cancers,” stated Pr Jean-Christophe Bernhard, M.D., PhD., Urologic Surgeon at CHU Bordeaux and head of the UroCCR. “Our work with SOPHiA GENETICS and the outcomes of our newest research demonstrated the advantages of utilizing AI to research real-world multimodal information. SOPHiA GENETICS’ expertise and community have been key to the success of our analysis and might be crucial as we proceed progressing with elevated information inputs.”
UroCCR was created in 2011 and was funded and labeled by the French Nationwide Most cancers Institute (INCa) as one of many fourteen official nationwide scientific and organic databases (BCB). The community makes it potential to establish and doc scientific, organic, and radiological information – in a shared database – for all newly identified sufferers in collaborating facilities. The community has been referenced in 2023 by the Excessive Authority on Well being (HAS) as real-life information supplier of curiosity. For extra info join on X and LinkedIn.
The SOPHiA DDM™ Platform has the flexibility to research multimodal information as a result of its cloud-based AI-driven atmosphere that integrates and standardizes various information modalities to gasoline the event of predictive fashions able to addressing analysis questions.
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Journal reference:
Margue, G., et al. (2024). UroPredict: Machine studying mannequin on real-world information for prediction of kidney most cancers recurrence (UroCCR-120). npj Precision Oncology. doi.org/10.1038/s41698-024-00532-x.
