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Course 7: Rationalized Patient Match and Clinical Trial Design with Large/Moderate Language Models on EHR Data 

10-23-2024 09:37

On October 15, 2024, the Society for Immunotherapy of Cancer (SITC) in partnership with the National Cancer Institute (NCI) held the seventh computational immuno-oncology webinar of series 4. The recording of the seventh webinar "Course 7 - Rationalized Patient Match and Clinical Trial Design with Large/Moderate Language Models on EHR Data: AI in Immuno-oncology" is available below.

Webinar Faculty

  • Presenter: Zhiyong Lu, PhD National Center for Biotechnology Information
  • Moderator: C. 'Harris' Floudas, MD, DMSc, MS – National Cancer Institute


Program Information

In partnership with and partial funding by the National Cancer Institute (NCI), the Society for Immunotherapy of Cancer (SITC) is launching our fourth "SITC-NCI Computational Immuno-oncology Webinar Series" throughout May-December 2024. This year’s series will focus specifically on the application of artificial intelligence (AI) in the field of immuno-oncology (IO). As such, the series has been rebranded to “AI in IO: SITC-NCI Computational Immuno-oncology Webinar Series.” Organized by the SITC Big Data and Data Sharing Committee, these nine free-to-attend digital events will help individual research labs to embrace the computational challenges of analyzing and integrating diverse assay data across the spectrum of immuno-oncology using AI. The goal of this special series is to explore the exciting applications and promising implications of the rapidly advancing field of AI for immuno-oncology. All webinars in this series will take place live and be made available in their entirety on the SITC ConnectED platform as enduring materials

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mp4 file
Moderate Language Models on EHR Data - Recorded Webinar   317.03 MB   1 version
Uploaded - 10-23-2024
pdf file
Moderate Language Models on EHR Data - Slides   10.46 MB   1 version
Uploaded - 10-23-2024

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