SANTA CLARA, CA - November 13, 2025 - - As machine learning (ML) systems become increasingly central to industries worldwide, ...

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

The University of Connecticut has partnered with Eversource, the state’s lead energy provider, in a research effort to predict extreme weather events and their effects on energy systems and ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

The P&C Insurance industry is undergoing a major change, due to the combination of digital innovation, customer expect ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...