FAIRifying Medical Imaging Data: Accelerating Large-Scale Data Initiatives
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Digital transformation initiatives are now relying on the FAIR Data principles to accelerate drug design, clinical trials, and AI efforts. However, complex data, such as medical images, present additional challenges that require unique solutions. In this presentation, we discuss the soup-to-nuts approach of implementing FAIR across large teams to improve R&D efficiency and project outcomes. We also discuss tools for centralizing and standardizing curation of complex data to accelerate AI research.
Presenter: Can Akgun, PhD, SVP of Business Development, Flywheel