The study shows how AI-based digital twins are transforming healthcare institutions themselves. Hospitals are increasingly complex systems where patient flow, staffing, equipment availability, and ...

Rapid deployment of renewable energy has reduced emissions but introduced new operational challenges. Solar and wind power ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

The new testbeds accelerate the development and deployment of next-generation digital twin technologies across industries.

As businesses turn to ERP solutions for predictive insights, it’s important to keep in mind three key considerations.

Welcome to an emerging world of exoskeletons, digital twins, and V2X (vehicle-to-everything) technology, shaped by research ...

The Digital Twin Consortium (DTC) announced the addition of four new testbeds to its Digital Twin Testbed Program, marking a step forward in digital twins–from traditional to intelligent to generative ...

A digital twin is a digital representation of an actual object or system replicated through the use of real-time data.

Machine learning, AI, automation and and prediction are rapidly evolving the digital landscape. Can digital twins be the ...

Guerrero Quiñones and Puzio’s study highlights the potential for digital twins to impose normative assumptions about gender and the body, affecting trans people’s self-perceptions as well as their ...

Healthcare is one of the most complex operating systems in the world. Even when occupancy looks steady, the ground is constantly shifting. With a national average length of stay of about 4.7 days 1, a ...