UC San Diego researchers report substantial decreases in depression symptoms by tailoring behavioral interventions based on ...

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 ...

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 ...

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 ...

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 ...

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 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 ...

Researchers at the University of Toronto say they have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine ...