FDA Grand Rounds - Adopting Large Language Models for Regulatory Review скачать в хорошем качестве

FDA Grand Rounds - Adopting Large Language Models for Regulatory Review

Dr. Joshua Xu from FDA's National Center for Toxicological Research presents how large language models (LLMs) are being adopted to enhance regulatory review processes. Learn about four practical use cases: literature screening that improves efficiency by 3x, "Ask FDA Documents" AI chatbot for querying regulatory materials, automated adverse event tracking in drug labeling, and duplicate adverse event report detection with over 90% accuracy. Dr. Shu discusses the importance of context of use, quality data, and locally-hosted models for security. This presentation demonstrates how AI is transforming FDA's regulatory science while maintaining data security and expert oversight.