A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

The peer-reviewed invited review in Brain Medicine titled "New approaches to enhance the diagnosis of psychiatric disorders," is freely available via Open Access, starting on 10 March 2026 in Brain ...

The arterial vasculature is the second most frequently calcified structure in the human body after the skeleton. Calcification of the aorta and aortic valves occurs in most individuals in westernized ...

By Rhett Ayers Butler Conservation has long wrestled with a deceptively simple question: not whether to act, but where action will matter most. Forest restoration, protected areas, wildlife corridors, ...

Abstract: Multi-label emotion classification (MLEC) for low-resource languages like Arabic faces significant challenges due to class imbalance and label correlations, particularly in accurately ...

This research initiative highlights practical AI and business analytics for decision support across infrastructure, ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

Abstract: Automatically identifying and classifying nonfunctional requirements (NFRs) such as reliability and security from software requirements is one of the most active research topics in the field ...

This study is Pew Research Center’s latest effort to explore the landscape of teens and technology today. It focuses on artificial intelligence – from how teens use chatbots to how they think about AI ...

Add Yahoo as a preferred source to see more of our stories on Google. Following Scott Borchetta’s departure last week, Hybe America has announced the relaunch of Big Machine Label Group as country and ...