OpenAI's o1 model just outperformed two attending physicians in diagnosing 76 real emergency room cases, according to a new Harvard study published in Science. Tested directly on raw electronic medical records, o1 nailed the diagnosis 67% of the time during triage, topping the doctors' 55% and 50% marks. While critics noted the test used internists instead of ER specialists, researchers say prospective trials in real care settings are urgently needed.
Harvard Medical School just unveiled PDGrapher, a free graph neural network that spots gene targets and drug combos capable of reverting diseased cells back to a healthy state. Tested across 11 cancer types, it ranked therapeutic targets up to 35% higher and ran 25 times faster than existing models.
Harvard Medical School researchers just launched TxGNN, the first AI model specifically built to repurpose existing medicines for rare and untreated conditions. It evaluated nearly 8,000 drugs across 17,080 diseases, beating rival models by roughly 50% while explaining its clinical reasoning. The tool is free for clinicians.
Researchers from Harvard and Oxford just introduced EVEscape, an AI tool designed to forecast how viruses will mutate before new variants actually emerge. By combining evolutionary sequences with structural biology, the system spots dangerous escape mutations in SARS-CoV-2 and flu, helping scientists design future-proof vaccines.
