Researchers at McMaster University in Canada built a generative AI model that assembles new drug candidates from roughly 150,000 chemical building blocks. In early tests, it has already designed a new antibiotic.
Bacteria keep evolving resistance to the drugs we have, and finding new antibiotics has been painfully slow and expensive. Tools that speed up the search are how we stay ahead of superbugs.
Mayo Clinic researchers ran their AI over nearly 2,000 routine CT scans, including older scans from people later diagnosed with pancreatic cancer that had looked clear at the time. It caught about 73% of those hidden cases, roughly 16 months before diagnosis on average.
Read the storyGoogle researchers used AI to comb years of public reports and catalogue more than 2.6 million past floods. That record trained a model that can warn of urban flash floods up to 24 hours ahead, shown free on Google's Flood Hub.
Read the storyGoogle DeepMind released AlphaGenome 2, trained on more than 100 million individual cells from 68 tissues. It predicts how a single-letter change in DNA alters what happens inside particular cell types, such as heart muscle or immune cells.
Read the storyOne hopeful, sourced AI story a day on X.