AI in IO: Rationalized Patient Match and Clinical Trial Design with Large/Moderate Language Models

When:  Oct 15, 2024 from 13:00 to 14:00 (ET)

Speaker: Zhiyong Lu, PhD – National Center for Biotechnology Information 

Moderator: C. ‘Harris’ Floudas, MD DMSc MS – National Cancer Institute 

Webinar Description: Thousands of IO clinical trials are currently available to cancer patients, all of which are aiming to identify the next generation of potential life-saving treatments. However, it can be difficult to design trials that will be able to efficiently enroll patients, especially in the field of immunotherapy where mechanisms of action have increased in complexity. This webinar will describe advances in AI application for analyzing electronic health record (EHR) data in order to better design immunotherapy clinical trials and more efficiently match potential patients.

Location

Online Instructions:
Url: http://sitc.execinc.com/edibo/NCI24Webinars?_ga=2.204972569.800816713.1714569441-45617971.1682516314
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