Computational Approaches to the Optimization of Dose and Schedule
Continue to learn about the cutting edge of computational immuno-oncology through a partnership between NCI and the Society for Immunotherapy of Cancer (SITC)!
In this webinar, Dr. Robert Jeraj of the University of Wisconsin-Madison and Dr. Matthew Reilley from the University of Virginia present computational approaches to the optimization of dose and schedule.
This SITC-NCI Computational Immuno-Oncology Webinar is the fifth course of eight, one-hour-long webinars designed to educate early-career scientists on computational immuno-oncology, 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. Jeraj is a professor at the University of Wisconsin-Madison with a focus in medical physics and human oncology.
Dr. Reilley is an assistant professor at the University of Virginia with a focus on understanding how to make immunotherapies more effective in gastrointestinal cancers.
Upcoming Events
- Integrating AI and Generative AI in Operations and Research: From Creating the Team and Infrastructure to Supporting 2,000+ UsersNovember 13, 2024Federated AI in Training Prediction Models: AI in Immuno-oncologyNovember 13, 2024Utilizing Data to Make Advancements for CancerNovember 15, 2024Tenth Computational Approaches for Cancer Workshop 2024 (CAFCW24)November 18, 202429th Annual Meeting and Education Day of the Society for Neuro-Oncology (SNO)November 21, 2024 - November 24, 2024Evaluating AI Models: Benchmarking and FairnessNovember 26, 2024