AI-assisted conductive hydrogel dressings offer real-time monitoring and faster healing for refractory wounds, advancing ...

As chronic wounds such as diabetic ulcers, pressure ulcers, and articular wounds continue to challenge global healthcare systems, a team of ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Carnegie Mellon University is helping define how artificial intelligence reshapes science — from accelerating discovery to scaling up new technologies. Ahead of the AI Horizons Summit, Barbara ...

University of Tennessee, Knoxville’s Katie Schuman and her team developed NODES, a neuromorphic computing system for ...

As a scholar in materials and mechanics, Academician Zhang Tongyi has made significant contributions to the development of ...

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately ...

Authors and peer reviewers are failing to disclose the use of LLMs despite journal policies limiting their use.

Carnegie Mellon University researchers have created new AI models that do a better job of predicting which patients with chronic kidney disease (CKD) will go on to develop end-stage renal disease ...

In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...