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

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Most AI tools are working with incomplete, siloed data, giving leaders a fragmented view of their own interconnected business ...

A prospective study found that diabetes mellitus and anuria are significant predictors of high post-void residual following ...

NEW YORK, NY, UNITED STATES, January 9, 2026 /EINPresswire.com/ — Sinansys, a next-generation supply chain resilience ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Predictive orchestration is replacing siloed planning models. AI-powered control towers now integrate procurement, ...

The landscape of emergency management is continually evolving, and the ability to predict and respond to airborne hazards in ...

Predictive tire health technology from Michelin and Sonatus will debut at CES 2026 with real-time, in-vehicle tire insights.

Recent advances in artificial intelligence (AI) have positioned the field as a transformative technological domain, with applications across many areas. AI ...

Assessment of Nutritional Status in Chronic Hemodialysis Patients in Chad: A Cross-Sectional Study at the Renaissance ...