A new tool named T1GRS enables researchers to get more accurate, further-reaching risk scores for the greater population ...

Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.

A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, ...

In a recent study published in The Lancet Digital Health, researchers performed a meta-analysis to evaluate the quality and performance of deep learning and machine learning models for long-term ...

Asthma can be predicted using non-biological measurements from the age of 3 years, according to one study. Machine learning models can predict physician-diagnosed asthma in early childhood, a recent ...

PORTLAND, Ore. (KOIN) – A team of researchers at Oregon Health & Science University received a $16 million grant to advance children’s mental health care using machine learning, the university ...

The process of dyeing fabric can lead to textile waste due to the typical method of coloring while wet, which makes it difficult to know how the color will look once dry. But a professor at North ...

A new study comparing machine learning-based portfolio optimization with the traditional all-weather portfolio found that certain AI models, including LASSO and elastic net, delivered Sharpe ratios ...

Researchers at the Yale School of the Environment published a study “Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and ...