Vivienne Ming argues defending against AI harms requires strengthening human skills and actively questioning AI instead of ...

While things will certainly change, and something resembling normalization will occur over the rest of the season, there are ...

Artificial intelligence and machine learning are reshaping diabetes prevention, diagnosis, and management across the care continuum. Continuous glucose ...

Researchers have reviewed the challenges and prospects of real-world battery status prediction within Industry 4.0, highlighting how lithium-ion battery diagnostics must adapt to dynamic operating ...

The US Department of Energy and Argonne National Laboratory have launched the latest round of their college-centered ...

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

An unusually mild winter followed by a wet spring made last year one of the worst in a decade for Pennsylvania soybean ...

NIIMBL’s 2025 National Meeting emphasized the need for system interoperability through standardization of means for data ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

The technology is designed to reduce strike zone disputes, long the source of baseball's most heated arguments. Under the new ...