Researchers at Harvard Medical School unveiled PDGrapher, a novel artificial intelligence model that simultaneously identifies therapeutic targets most likely to reverse diseased cellular states by analyzing multiple disease-driving pathways. The model, leveraging causal discovery and geometric deep learning, predicts optimal gene targets and therapeutic combinations to restore healthy gene expression, offering a transformative approach for accelerating drug discovery and design beyond traditional single-target paradigms.