Harnessing multimodal data analytics to guide clinical decisions
Fragmented, missing, and unstructured data stand in the way of realizing the potential of multimodal data analytics to optimize precision medicine. This talk tackles these obstacles, from identifying vital patient and treatment response data to breaking down data silos and fostering integration. Using a machine learning-powered approach, we will show how one can standardize multimodal information to drive accurate insights and guide decision-making in healthcare. Leveraging on the Azure Cloud infrastructure and capabilities, the SOPHiA DDM™ Platform enables multimodal data visualization (longitudinal view of data modalities across the care journey) and cohorting (contextualizing the patient within one of the largest networks of global institutions) to ultimately generate comprehensive insights. Secure and compliant, the platform is being tested across sites in the US and Europe in the context of ongoing clinical trials such as DEEP-Lung-IV (NCT04994795) and UroCCR 15 (NCT05404685).
Lunch and refreshments will be served.
Speakers
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