Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

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

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...