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 ...

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 ...

RTID system reduces unnecessary temporary diverting ileostomy use in rectal cancer surgery without increasing anastomotic ...

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 ...

Subtle signs of Alzheimer's disease can emerge decades before a diagnosis—often in the form of irregular behaviors that reflect very early stages of brain dysfunction. But until now, identifying and ...

After years of gloom and doom, scientists and global activists no longer believe that the world’s coral reefs are facing a ...

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 ...

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 ...

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...

A new computational approach will improve understanding of different states of carbon and guide the search for materials yet to be discovered. Materials—we use them, wear them, eat them and create ...