The Bangko Sentral ng Pilipinas sees inflation risks in 2026 tilted to the downside, with new analysis showing a high chance ...

Recent data suggests a significant positive relationship between the Triglyceride-Glucose (TyG) index—a marker of insulin ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...

A new study published in the journal of BMC Nephrology revealed that a U-shaped link between high stress hyperglycemia ratio ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

Researchers unveiled a “physical AI” system that detects electric vehicle stability loss in real time to improve EV safety.

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

A research team led by Professor Kanghyun Nam at the Department of Robotics and Mechanical Engineering, DGIST, has developed ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...