The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

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

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

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 ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

For instance, fiscal consolidation related conditionalities, like achieving primary surplus in the current EFF programme, are ...

According to the findings, older adults who reported a high tinnitus burden were seven times more likely to experience ...

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

Objectives To examine associations between The Daily Mile, a school-based active mile intervention, and pupils’ physical ...

This study found that certain characteristics in linked electronic health record data across episodes of care can help identify patients with Alzheimer disease and related dementias at high risk of 30 ...

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...