A huge haul of possible planets has been hiding in NASA data, waiting for scientists to look more closely at faint, ...

Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...

Machine-learning iMAP coaching track achieves a 55% depression remission rate by personalizing lifestyle targets.

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 ...

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 ...

Researchers report substantial decreases in depression symptoms by tailoring behavioral interventions based on data ...

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 ...

For more than a decade, a fundamental mystery has surrounded graphene—the one-atom-thick “wonder material” known for its ...

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 ...

In a recent study published in Scientific Reports, researchers investigated the performance of a machine learning (ML)-based model in evaluating radiomic features to diagnose coronary artery disease ...