Designed Radiopharmaceuticals: How Machine Learning Is Redefining Precision Cancer Therapy" reports on the integration of deep learning and generative AI in radiopharmaceutical medicine, its impact on ...

I have this idea of a communal brain.” David Baker, PhD, told me as I sat in his office at the University of Washington (UW) ...

A powerful new AI tool has uncovered what could be one of the biggest integrity problems in modern science. After analyzing 2 ...

Boston researchers say they have created an artificial intelligence tool that sifts through electronic health records to ...

Using computational tools, researchers from the Johns Hopkins Kimmel Cancer Center and the Johns Hopkins University School of ...

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...

Researchers @hopkinskimmel and @HopkinsMed develop methods to predict which #livercancer patients do best with combination ...

A large study found that women taking GLP-1 drugs, the medication class behind Ozempic, Wegovy, Mounjaro, and Zepbound, were about 30% less likely to develop breast cancer. Researchers say the ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

If you buy something from a Verge link, Vox Media may earn a commission. See our ethics statement. is a senior editor and founding member of The Verge who covers gadgets, games, and toys. He spent 15 ...