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

Objectives To estimate the association between maternal perinatal mood and anxiety disorder (PMAD) symptoms and infant health ...

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 ...

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 ...

Taiwan must address generational and ethnic identity-based factors shaping citizens’ attitudes towards conscription to ensure ...

Significant treatment options are changing the management of CLL, according to research presented at the ASH Annual Meeting 2025.

Introduction Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy, but its impact is limited by low uptake ...

Introduction The global evidence base on intimate partner violence (IPV) prevalence and risk factors is predominantly cross-sectional, limiting clarity in changes over time. Prospective cohort data ...

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 ...

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

Background The role of mineralocorticoid receptor antagonists (MRAs) in acute myocardial infarction (MI) remains ...