A major advance in artificial intelligence is reshaping how scientists decode protein structures, a long-standing challenge at the heart of biology and medicine. By combining deep learning with vast biological datasets, researchers have dramatically improved the speed and accuracy with which protein shapes can be predicted from genetic information. This breakthrough has the potential to accelerate drug discovery, enhance understanding of diseases, and reduce the cost and time associated with laboratory-based experimentation.