Social Determinants of Health with Large/Moderate Language Models on EHR Data: AI in Immuno-oncology
Join Dr. Danielle Bitterman of the Dana-Farber Cancer Institute and Dr. Matthew Reilley of the University of Virginia as they discuss the intersection of social determinants of health and data from electronic health records in cancer care.
During this webinar you’ll learn about:
- new methods for analyzing health record data to better understand social determinant indicators.
- how new analyzation methods could enhance immunotherapy administration and access.
This webinar is part of the 2024 SITC-NCI Computational Immuno-oncology Webinar Series, which focuses on the application of AI in immuno-oncology. This is the fourth of nine free webinars to help individual research labs overcome computational challenges while analyzing and integrating different assay data throughout the immuno-oncology spectrum using AI. The annual series aims to educate early-career scientists, increase participants’ awareness of and engagement in NCI-supported Cancer Moonshot℠ Immunotherapy Networks, and fulfill the Blue Ribbon Panel’s goal of accelerating progress in cancer research.
Dr. Bitterman is a physician-scientist at the Dana-Farber Cancer Institute.
Dr. Reilley is an associate professor of medicine at the University of Virginia School of Medicine.
Upcoming Events
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2024 Children’s Brain Tumor Network (CBTN) SummitOctober 09, 2024 - October 11, 2024The Role of MIDRC in Medical Imaging AIOctober 11, 2024Rationalized Patient Match and Clinical Trial Design with Large/Moderate Language Models on EHR DataOctober 15, 2024NCI Office of Data Sharing’s Annual Data Sharing Symposium: Driving Cancer Advances Through Impactful ResearchOctober 16, 2024Generative AI for Modeling Single-cell State and ResponseOctober 16, 2024