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

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 ...

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

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

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 ...

The issue: Many runners (particularly women) report that their fitness trackers tell them they’re exercising in a higher zone ...

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 ...

Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

Plenty of high earners are not founders, influencers, or coders but people in routine, rules-driven roles that quietly keep ...