Meet HealthTech AI data challenges with a single data platform

Artificial intelligence (AI) is forecast to save hundreds of thousands of lives and billions of dollars by detecting diseases ...
Scientific Research Publishing

A Brief Discussion on the Theory and Application of Artificial Intelligence in Medical Diagnostics ()

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
Semiconductor Engineering

Benefits And Limits Of Using ML For Materials Discovery

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Researchers demonstrate breakthroughs in cancer treatment quality through AI-enhanced data analytics

Cancer researchers at the University of Tennessee Health Science Center have published three new studies demonstrating how ...
Mirage News

Transfer Learning Boosts Aluminum Composite Predictions

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...
AZoM

Prototype Demonstrates Reliable Long-Term VOC Monitoring

A prototype of the new VOCentinel has been successfully installed and in use since June 2025 at the Innsbruck Atmospheric ...
EurekAlert!

Beyond small data limitations: Transfer learning-enabled framework for predicting mechanical properties of aluminum matrix composites

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
BMJ Open

High-dose intermittent theta burst stimulation targeting the individualised frontoparietal cognitive network for post-stroke cognitive impairment: protocol for a randomised ...

Introduction Cognitive impairment is a common consequence after stroke. Intermittent theta burst stimulation (iTBS) has emerged as a promising cognitive therapy. However, traditional iTBS typically ...