Causally-inspired meta-representation learning framework for predicting patient-specific clinical responses to drug combinations
CaMeRe, a Causally-inspired Meta-representation learning framework designed to predict patient-specific clinical Response to drug combinations, exhibited robust multi-domain generalization performance across multiple clinical drug combination response datasets and PDXs drug combination response datasets and generalizat...