Medical Consumables, Centralized Procurement Model, Financial Management, Cost Control Share and Cite: Wen, Z. (2025) Research on the Financial Impact of Centralized Procurement of Medical Consumables ...

Abstract: Robust model predictive control (MPC) algorithms are essential for addressing unavoidable errors due to the uncertainty in predicting real-world systems. However, the formulation of such ...

The race to build artificial intelligence is not just a story about clever code or faster chips. It is a struggle over who ...

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

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

The journey towards autonomous operations involves incremental steps, each bringing businesses closer to a state where systems can independently manage and optimize processes, ensuring sustained ...

As city grids evolve with renewable resources and IoT integration, digital twins offer a scalable solution for proactive ...

Predictive analytics has become one of the most practical technologies shaping modern business strategy. While it is often ...

Ever since Henry Ford revolutionized manufacturing with his Model T, factories have become more and more efficient. Today, ...

A collaboration between BHP Group Limited (NYSE: BHP) and Microsoft has used artificial intelligence and machine learning with the aim of improving copper recovery at the world’s largest copper mine.

Lyophilization model can help optimize freeze-drying steps for continuous manufacturing processes, according to MIT researchers.