Please provide your email address to receive an email when new articles are posted on . The model, along with a traffic-light system, boosted sensitivity and specificity of agitation recognition.

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Discover how ADT is transforming pump design with Machine Learning and 3D Inverse Design to boost efficiency and cut ...

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

With the rise of machine learning tools such as ChatGPT, we’ve seen a lot of speculation regarding what that looks like for the future of human creativity in the workplace and elsewhere. Some have ...

Researchers at City of Hope, and at the Translational Genomics Research Institute (TGen), have developed and tested a machine-learning approach that they suggest could one day enable earlier ...

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help doctors ...

The most popular classification models have generative artificial intelligence (Gen AI) being a subset of machine learning, and machine learning being a subset of AI. While this may technically and ...