Predicting Drug Resistance and Drug Repurposing with Imaging-Based AI: AI in Immuno-oncology
Join Stanford University’s Dr. James Zou and NCI’s Dr. C. ‘Harris’ Floudas as they discuss how imaging-based artificial intelligence (AI) can help you avoid drug resistance and identify alternative therapeutic uses.
During this webinar you’ll learn about:
- imaging-based AI that can analyze drug-specific structures and interactions.
- specific applications of imaging-based AI and how these applications improve our understanding of immuno-therapeutic mechanisms.
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 sixth 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 MoonshotSM Immunotherapy Networks, and fulfill the Blue Ribbon Panel’s goal of accelerating progress in cancer research.
Dr. Zou is an associate professor of biomedical data science at Stanford University.
Dr. Floudas is a head and neck cancer medical oncologist at NCI.
Upcoming Events
- The 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, 2024The Cancer Research Data Commons 2024 Fall Symposium: Ten Years of Empowering Cancer ResearchersOctober 16, 2024 - October 17, 2024AI and Big Data: A New Era in Cancer Care and ResearchOctober 20, 2024