Many companies report widespread AI usage but disappointing returns, assuming the problem lies in execution rather than ...

As AI floods the SOC, security teams are discovering that smarter data architecture may matter more than smarter algorithms.

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...

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 ...

Medical research relies on basic science and the study of patients. Finding ways to closely integrate these steps is one way to accelerate progress. That’s a feature of work with a technique called ...

A deeper look at unmanaged AI use, also known as "shadow AI", as a response to workflow friction in laboratories.

The timing of the biological onset of multiple sclerosis (MS) is unclear. We used high-throughput discovery proteomics and samples from presymptomatic patients with MS and matched healthy controls to ...