This research assesses data provenance in widely used health datasets, revealing flaws that could undermine clinical prediction models and patient care.

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) ...

When a winter storm knocks out power or a heat wave pushes the grid to its limits, energy becomes a matter of security and ...

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...

Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, ...

Researchers have demonstrated a novel AI model that can predict which DNA molecules bind with other DNA molecules. A more ...

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 ...

Cerebrovascular disease can lead to serious aftereffects if treatment is delayed, but it is difficult to detect before ...

A deep learning model can identify hospitalized patients at risk for hypoglycemia within 24 hours, according to a study published online June 11 in npj Digital ...

The tools may help address underdiagnosis in this area, though there is still room for improvement in screening performance.

Looking ahead to 2030, our model projects FLY could trade at an average price of $168.60, with a potential range between $126.45 and $210.75. This represents a potential 659.6% return from today's ...