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.
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