Background Double-checking of medication administration is a safety practice used in hospitals around the world. Independence is recommended as the key to effectiveness. Independent double-checking ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

This is the largest real-world analysis of mycophenolic acid in pediatric lupus nephritis to date, providing a decision-support system to help balance efficacy and safety.

Forecasting mortgage rates beyond the short term is extraordinarily difficult, but not impossible.

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Misleading weather app icons are causing financial headaches for major attractions, like zoos, because people are canceling plans based on a single icon.

CLCircular, a European leader in supply chain monitoring through connected, reusable IoT sensors, achieves B Corp certification ...

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

A new malware strain dubbed Slopoly, likely created using generative AI tools, allowed a threat actor to remain on a compromised server for more than a week and steal data in an Interlock ransomware ...

AI doesn't create bias. It scales existing bias with mathematical precision. When a model trains on decades of credit decisions that reflect historical redlining and discriminatory lending practices, ...

Despite significant scientific advancement over the last decades, the universe still finds new ways to surprise us. Every ...