Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

Autonomous vehicles could dramatically reduce traffic accidents and injuries on U.S. roads. Drawing on historical data and ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

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

This population-based study shows that shared and pattern-specific blood biomarkers reflect biological vulnerability ...

A research team has developed a method for improving crop growth monitoring by accurately estimating the fraction of absorbed ...

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

Researchers from The University of Osaka find that migration of blood sugar to saliva in individuals with type 2 diabetes ...

This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Cancer researchers at the University of Tennessee Health Science Center have published three new studies demonstrating how advanced artificial intelligence and population health analytics can identify ...

Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...