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SOPHiA GENETICS (Nasdaq: SOPH), a cloud-native software program firm and a pacesetter in data-driven drugs, and the French Kidney Most cancers Analysis Community (UroCCR) collaborated on a examine utilizing a multimodal algorithm to assist predict post-operative outcomes for these going through renal cell carcinoma (RCC), with the outcomes not too long ago revealed in npj Precision Oncology. The findings of the examine confirmed the factitious intelligence (AI) mannequin co-constructed by SOPHiA GENETICS and UroCCR offered a robust prediction for post-operative outcomes when in comparison with normal 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 objective of UroCCR is to attach a nationwide, multidisciplinary community of medical and scientific professionals who concentrate on 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 knowledge, together with radiological, scientific, and organic knowledge from greater than 3,300 sufferers throughout France operated between Might 2000 and January 2020. Researchers utilized SOPHiA GENETICS’ proprietary AI providing to investigate the info into simply visualized, dependable predictions that have been measured towards, and outperformed, commonest danger scores.
The amount and complexity of accessible well being knowledge continues to extend, and whereas this may help in personalised diagnostics and therapy, it’s best when paired with AI. Our work with UroCCR over the past three years has considerably superior its analysis of RCC and proven the facility of AI to offer insights from real-world multimodal knowledge. We’re extraordinarily happy with the findings from this examine and sit 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 knowledge silos and empower researchers with data-driven insights to drive the usage of precision drugs. The examine from UroCCR and SOPHiA GENETICS exhibits that an AI-based prediction mannequin has the potential to help scientific therapy decision-making and supply a sign of which sufferers could doubtlessly 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 the usage of 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 examine demonstrated the advantages of utilizing AI to investigate real-world multimodal knowledge. SOPHiA GENETICS’ expertise and community have been key to the success of our analysis and can be crucial as we proceed progressing with elevated knowledge 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 knowledge – in a shared database – for all newly recognized sufferers in taking part facilities. The community has been referenced in 2023 by the Excessive Authority on Well being (HAS) as real-life knowledge supplier of curiosity. For extra info join on X and LinkedIn.
The SOPHiA DDM™ Platform has the power to investigate multimodal knowledge because of its cloud-based AI-driven surroundings that integrates and standardizes various knowledge 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 knowledge for prediction of kidney most cancers recurrence (UroCCR-120). npj Precision Oncology. doi.org/10.1038/s41698-024-00532-x.
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