SOPHiA GENETICS (Nasdaq: SOPH), a cloud-native software program firm and a frontrunner in data-driven medication, 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 dealing with renal cell carcinoma (RCC), with the outcomes not too long ago printed in npj Precision Oncology. The findings of the research confirmed the bogus intelligence (AI) mannequin co-constructed by SOPHiA GENETICS and UroCCR offered a powerful prediction for post-operative outcomes when in comparison with common prognostic scores. This publication follows a prior collaboration that demonstrated the worth of multimodal evaluation on pre-operative kidney most cancers upstaging.
UroCCR is without doubt 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 deal with 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 offered 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 in opposition to, and outperformed, most typical threat scores.
The quantity and complexity of obtainable well being information continues to extend, and whereas this will help in personalised diagnostics and therapy, it’s best 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 offer insights from real-world multimodal information. We’re extraordinarily happy with the findings from this research and look ahead to continued collaboration with UroCCR.”
Thierry Colin, VP, Multimodal Analysis and Improvement, SOPHiA GENETICS
SOPHiA GENETICS’ know-how and international decentralized community are designed to interrupt information silos and empower researchers with data-driven insights to drive the usage of precision medication. 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 that a shared database helps facilitate and broaden the usage of precision medication for sufferers dealing with 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’ know-how and community have been key to the success of our analysis and shall 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 attainable to establish and doc scientific, organic, and radiological information – in a shared database – for all newly recognized 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 data join on X and LinkedIn.
The SOPHiA DDM™ Platform has the flexibility to research multimodal information because of its cloud-based AI-driven surroundings that integrates and standardizes various information modalities to gas 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.
