SAPA Data Science Community
2025 July Webinar
Large Language Models for Biomedical Applications
HIGHLIGHTS
Recent breakthroughs in Large Language Models (LLMs) have sparked an unprecedented transformation across diverse fields, particularly in the biomedical domain. These advanced models are not only accelerating research but also revolutionizing clinical practices by enabling more efficient data analysis, improving decision-making processes, and facilitating innovative discoveries. In this talk, I'll share our cutting-edge methodologies and practical software solutions leveraging state-of-the-art LLMs such as GPT and LLaMA. We will highlight their application in crucial biomedical informatics tasks including information extraction, question answering, and literature mining. Additionally, we will discuss the compelling insights, challenges, and real-world experiences gained from applying these transformative technologies, illustrating how LLMs are reshaping the future of biomedical research and healthcare.
SPEAKER
Hua Xu, PhD, FACMI
Robert T. McCluskey Professor and Vice Chair for Research and Development, Department of Biomedical Informatics and Data Science
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Assistant Dean for Biomedical Informatics, Yale School of Medicine
Yale University
Dr. Hua Xu is Robert T. McCluskey Professor and Vice Chair for Research and Development, Department of Biomedical Informatics and Data Science at Yale School of Medicine (YSM), as well as Assistant Dean for Biomedical Informatics at YSM. He received his Ph.D. in Biomedical Informatics from Columbia University. His primary research interests include biomedical natural language processing (NLP) and data mining, as well as their applications in secondary use of electronic health records data for clinical and translational research. His research is funded by multiple agencies (i.e., NLM, NCI, NIGMS, NIA, AHA, and CPRIT), and methods/tools developed in his lab have been widely used to support diverse biomedical applications. He served as the Chair of American Medical Informatics Association (AMIA) NLP Working Group and now leads the Observational Health Data Sciences and Informatics (OHDSI) NLP Working Group. Dr. Xu is a fellow of both the American College of Medical Informatics (ACMI) and the International Academy of Health Sciences Informatics (IAHSI).
ABOUT US
Data science and AI are hot trending topics in many industry. The aim of SAPA Data Science community is to bring together researchers, young professionals, educators, and experts into one place, provide learning and collaboration platform for data science related topics, and drive the personal growth and career development of members.
Join us on the 2nd Tuesday of every other month from 8:00 PM to 9:30 PM for complimentary educational seminars and discussions on practical data science applications. Stay tuned for upcoming topics and activities!
