Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...

Clinical neurophysiology examinations include electroencephalography, sleep and vigilance studies, as well as nerve ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Researchers developed a machine learning model that predicts high-yield antibody-producing cell lines early in manufacturing, ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...

Jammu and Kashmir Lieutenant Governor Manoj Sinha on Tuesday asserted that artificial intelligence and machine learning are ...