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 ...

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

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

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 The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part 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 ...

Background PD-1 blockade has emerged as a promising approach for functional cure of chronic hepatitis B (CHB). Objective This study aimed to evaluate the safety profile of anti-PD-1 antibody (αPD-1), ...

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

Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement ...

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 ...

Our study assessed the impact of using Control-IQ technology, an automated insulin delivery system, on achievement of a Healthcare Effectiveness Data and Information Set (HEDIS) quality measure ...