DeepRare, an agentic AI system integrating 40 specialised tools, outperformed medical specialists in identifying rare conditions in a head-to-head study published in Nature . For millions of people with rare diseases, the path to diagnosis is a labyrinth. Patients bounce between generalist GPs and specialists across years, sometimes decades, piecing together symptoms that fall outside textbook presentations. Eighty per cent of rare diseases have a genetic origin, yet most go undiagnosed until too much biological damage has occurred. The bottleneck is not lack of data, it’s finding the needle in the medical haystack. A new study published in Nature this month suggests that artificial intelligence may accelerate that hunt. Researchers at Shanghai Jiao Tong University’s School of Artificial Intelligence and Xinhua Hospital developed DeepRare , an AI system designed to mimic how human doctors reason through diagnostic uncertainty.…