The AACE update to its 2026 algorithm for the management of type 2 diabetes includes a new section on diabetes classification.

New research shows that the application of AI remains uneven across the full spectrum of disaster management, with most systems still concentrated on detection and prediction rather than actionable ...

Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs. A new approach integrates drone-based multispectral imaging with machine learning to ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

Drs. Jessa Miller and Amrita Ray discuss the paradox of increasing incidence and decreasing mortality in AIFRS.

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

Recent research from across the world has found that stigma towards people with mental health diagnoses is either increasing ...

Readers asked about B.C.’s time change decision, how it affects their health, and how to generally improve their sleeping habits ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...