For a life sciences manufacturer seeking to predict process conditions, digital twin might just be the answer they’re looking for. Digital twin is a term with several different definitions and it is ...

The quality of a drug product is determined by the manufacturing line. Preclinical assessments and clinical trials provide an indication of safety and efficacy, but it is the manufacturing process ...

The digital transformation of industry has been ongoing for years, as more companies digitize legacy equipment through network connections, employ edge and cloud computing for data analysis and ...

Shortly after finding success with a digital collaboration combining the expertise of universities and major pharma players like AstraZeneca and GSK, the United Kingdom’s Centre for Process Innovation ...

Outdated technologies holding you back? Digital engineering drives smarter manufacturing and supports the shift to Industry 5 ...

Manufacturing environments are going digital by necessity. The process extends beyond mere technological upgrades; it represents a comprehensive rethinking of your processes and business priorities.

Manufacturing has always evolved with human ambition—from mechanisation to automation, from cyber-physical integration to intelligent value creation. Today, ...

Researchers from IMDEA Materials Institute and the Technical University of Madrid (UPM) have developed an innovative Digital Twin that enables real-time analysis of composite materials manufacturing.

Dublin, March 04, 2026 (GLOBE NEWSWIRE) -- The "Digital Process Automation - Global Strategic Business Report" report has been added to ResearchAndMarkets.com's offering. The global market for Digital ...

Medical device manufacturing is a high-stakes game where efficiency meets precision. With tight regulations, complex designs, and a need for speed, how do companies stay ahead without cutting corners?

The Industrial Internet of Things (IIoT) connects IoT with Industry. The IIoT allows companies to reap information from their machines and environments to create intelligent, self-learning machines.