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 ...

Health Insurance Equity, Social Determinants, Socioeconomic Status, Insurance Quality, Urban-Rural Disparity, Hukou, China ...

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

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

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 ...

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

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 ...

With the conclusion of Week 18, the regular season is over, and the postseason is upon us. So, what now asks @AaronLemingNFL?

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

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