Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

Researchers use mini plasma explosions to encode the equivalent of two million books into a coaster-sized device. The method ...

Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left guessing how to achieve similar results.