AI-Foundational Models for Cancer Imaging Biomarkers
Explore how artificial intelligence foundational models can revolutionize the analysis of patient data, specifically influencing immunotherapy. Dr Hugo Aerts of Harvard-Mass General Brigham and Dr. Sandhya Prabhakaran of the Moffitt Cancer Center will focus on the innovative developments in fairness AI aimed at reducing disparities in cancer 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 ninth and final free webinar 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. Aerts is the director of the Artificial Intelligence in Medicine Program at Harvard-Mass General Brigham.
Dr. Prabhakaran is an applied research scientist with the Integrated Mathematical Oncology Department at the Moffitt Cancer Center.
Upcoming Events
- Leveraging Optical Imaging and Data Science to Enable Precision Intervention in Brain Tumor SurgeryNovember 26, 2024Evaluating AI Models: Benchmarking and FairnessNovember 26, 20242024 U.S. Southeast Healthcare Innovation SummitDecember 04, 2024Molecular Characterization Initiative (MCI) Update: Pediatric Soft Tissue SarcomasDecember 10, 2024AI-Foundational Models for Cancer Imaging BiomarkersDecember 17, 2024