S24-099 Precision Immunotherapy: AI-Powered Biomarkers for Predicting Outcomes in Advanced Esophagogastric Cancer Stanford researchers have developed an innovative AI-driven solution for predicting immunotherapy response in esophagogastric cancer patients. Ruijiang Li
S21-193 Prediction of RNA structure with equivariant neural networks A new deep-learning system called Atomic Rotationally Equivariant Scorer (ARES) significantly improves the prediction of RNA structures over previous artificial intelligence (AI) models. Raphael Townshend Stephan Eismann Andrew Watkins Ron Dror Rhiju Das