Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing high-volume liposuction, reports a study in the January issue of Plastic and ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

How AI-driven admission and discharge prediction can help emergency departments improve throughput, reduce delays, and support clinicians without replacing clinical judgment.

The achievement was made by uncovering and activating capacity that had always been there: Staff just couldn't see it until they implemented consistent processes and system-wide analytics.

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...