Real-World Evidence in the Age of Generative AI

Explore how generative AI and large language models are transforming real-world evidence generation in biomedical research through this 57-minute conference presentation. Learn about the widespread accessibility and capabilities of GenAI models that are accelerating and democratizing biomedical knowledge work by enabling rapid data structuring and cross-modal connections across historically independent data types. Discover recent developments in generative AI applications specifically focused on real-world evidence generation, with insights from Microsoft Research's Health Futures team. Gain understanding of how machine learning techniques from natural language processing and unsupervised learning are being applied to complex, unstructured health data to uncover meaningful relationships and patterns that can inform healthcare decision-making and research.