Predicting Early Diagnosis and Response with Multimodal AI
Join Drs. Anant Madabhushi and Alan Hutson as they delve into the world of multimodal artificial intelligence (AI) and its potential impact on cancer patient outcomes. In this webinar, you’ll learn about multimodal AI’s potential to process diverse data inputs, particularly as treatments become increasingly personalized, which is crucial for driving progress in cancer diagnosis and creating decisions for treatment.
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 fifth 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. Madabhushi is a faculty member of the Emory Winship Cancer Institute, an NCI-designated comprehensive cancer center.
Dr. Hutson is the chair of the Biostatistics and Bioinformatics Department at the Roswell Park Comprehensive Cancer Center.
Upcoming Events
- AI in Cancer: Bridging Context from Design to DeliveryApril 02, 2025The Molecular Twin AI Platform Integrates Multi-omic Data to Predict Outcomes for Pancreatic Adenocarcinoma PatientsApril 03, 2025Cardinal Bernardin Cancer Center Virtual Grand Rounds—Utilizing Data to Make Novel Discoveries for CancerApril 17, 2025Horizons in Neuro-Oncology: Sex Differences in Brain TumorsApril 22, 2025