Harvard Medical School researchers developed PDGrapher, an AI-driven neural network that identifies gene targets capable of reversing diseased cellular states. Unlike traditional single-target drug discovery, PDGrapher predicts combination therapies that shift multiple disease drivers back to healthy phenotypes. This causally inspired model leverages gene expression and causal inference, promising to accelerate drug development and treat complex diseases fueled by multiple molecular pathways.