Researchers at Harvard Medical School developed PDGrapher, an artificial intelligence model that predicts treatments capable of reversing disease states in cells by identifying gene targets to restore healthy gene expression profiles. Unlike traditional single-target approaches, PDGrapher considers multiple disease drivers and can suggest effective single or combined targets. This causally inspired neural network promises to accelerate drug discovery and design for complex diseases largely unexplored by conventional methods.