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After two decades in NLP research, Wendy Chapman explores why she pivoted toward real-world clinical impact and the challenges of implementing AI in health care.

Biological systems exhibit complex, nonlinear dynamics that challenge traditional mechanistic modeling due to high computational cost and limited scalability. This talk explores AI surrogate models that integrate biological structure to enable scalable, uncertainty-aware prediction of biological dynamics, highlighted by an Alzheimer’s disease case study of disease progression and longitudinal clinical trajectories.

This webinar discusses BRIDGE, a multilingual benchmark constructed from real clinical tasks and over one million EHR-derived samples, where we evaluated 95 leading LLMs through 24,000+ experiments and 39 million predictions.

Join the Clinical Research Informatics Working Group for an informative talk featuring Sean Mooney, PhD, Director, Center for Information Technology (CIT), National Institutes of Health.