Computational Approaches to Immuno-Oncology (IO) - Overview



The scientific objectives of the symposium are to discuss a) current state of the art technologies in computational immuno-oncology (IO) and b) outstanding scientific gaps and opportunities. Scientific themes to be explored include 1) multi-modal data integration, 2) computational challenges in IO data including rigor, reproducibility, artificial intelligence (AI), deep learning, data bias, etc., and 3) enabling medical discoveries to inform therapeutic development using IO data.