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

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 ...

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

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 ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Watch says you’re in the red but body feels fine? You’re not imagining it. Discover why 220 minus age fails women and how to ...

Background Malnutrition influences prognosis in patients with heart failure, but current nutritional evaluation methods are ...

Background/purpose Social media (SM) has become an indispensable tool in healthcare, providing platforms for networking and ...

Introduction Population level screen and treat approach for anaemia reduction could be beneficial but its feasibility and ...

Some requests by reviewers to cite their own publications are coercive and can unnecessarily delay indexation and publication.