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Leveraging Federated AI and Open Data to Transform Oncology Research and Development
Session Chair(s)
Maria Vassileva, PHD
Chief Science and Regulatory Officer
DIA, United States
This session covers the importance of data sharing and the new tools that might enable that pooling and integration in order to facilitate progress in personalized medicine and ensure faster access to treatments for the oncology patients who need them the most.
Learning Objective : Understand the present landscape, opportunities, and challenges of oncology data pooling efforts and the advancements offered by AI that can allow faster integration; Describe emerging programs and global initiatives designed to facilitate faster oncology drug development; Assess various considerations and strategies that are meaningful to both physicians and patients.
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