Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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 ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...