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

An EEG (electroencephalogram) is a painless test that uses small sensors placed on the scalp to measure the brain's ...

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 ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Forecasting earthquakes presents a serious challenge on land, but in the oceans that cover around 70% of Earth's surface it is all but impossible. However, the vast network of undersea cables that ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

A mathematical trick speeds up seismic calculations for earthquake simulations and could revolutionize earthquake preparedness.

National AI usage among businesses is growing, with current rates at 18% and projected to hit 22% in six months. Larger firms show higher AI adoption; those with 250+ employees report a 27% usage rate ...

Clinical neurophysiology examinations include electroencephalography, sleep and vigilance studies, as well as nerve conduction recordings. Interpretation of these recordings is largely taught during ...

Cardiometabolic syndrome arises from intricate interactions among metabolic, cardiovascular, behavioral, and environmental factors. The convergence of ...