A machine learning model was developed to predict the oxidation resistance of Ti-V-Cr burn-resistant titanium alloy, and the natural logarithm of the parabolic oxidation rate constant ( lnk p ) was ...

A new breed of models has rejuvenated predictive AI. But successful deployment demands a new business-value playbook.

Drinking water sources can contain diverse bacterial and viral pathogens, making reliable monitoring essential for public ...

Researchers have developed a physics-informed machine learning framework that predicts the remaining useful life of electric ...

MediRoutes has launched Predictive ETAs for non-emergency medical transportation (NEMT) providers. The feature uses machine learning on GPS trip history to estimate how long each route will take.

Over the past month or so, several key advancements in healthcare technology have centered on artificial intelligence designed to streamline clinical operations while also safeguarding data. Major ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...

A pilot machine learning study of 20 mother-child dyads found that maternal lactation nutrients such as phosphatidylcholine, ...

Machine learning predicted postoperative delirium after cardiac surgery, with random forest showing the strongest performance. Read more.

A novel machine learning model accurately screened for psychologic distress in patients with chronic rhinosinusitis using routine clinical variables.