Artificial intelligence (AI) is poised to transform the field of medical research by significantly speeding up the discovery of treatments for life-threatening diseases such as cancer and liver disease. Recent studies published in the journal Nature highlight how AI systems can analyze extensive medical literature, uncovering hidden insights that might elude human researchers. One notable application involved an AI co-scientist developed by Google DeepMind, which generated scientific theories and identified connections within vast amounts of data. Professor Gary Peltz from Stanford University School of Medicine utilized this AI while investigating potential drugs for liver fibrosis. Although his initial selections showed no benefit, the AI suggested three additional drugs, two of which proved effective, with one blocking approximately 90% of fibrosis damage. Furthermore, AI flagged a compound named Kira6, which showed promise in suppressing cancer cells in early tests for acute myeloid leukaemia. While researchers stress that these treatments are far from clinical validation, they believe AI could significantly enhance the pace of medical discoveries, with Professor Filippo Menolascina from Edinburgh University likening its impact to strapping on a jet pack.