Introduction Adolescents in Kenya face a high burden of sexual and reproductive health (SRH) challenges, including early pregnancy, sexually transmitted infections and limited access to accurate ...

Abstract: Given the persistent global challenge presented by rapidly spreading diseases, as evidenced notably by the widespread impact of the COVID-19 pandemic on both human health and economies ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

Objectives This study describes the prototype testing and clinical validation of the Fit-Frailty App, a fully guided, interactive mobile health (mHealth) app to assess frailty and sarcopenia. This ...

A new study shows bots can be indistinguishable from humans in survey responses. There’s bad news for those using digital ...

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 ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Fish have been known to make sounds for over two millennia, yet much of this underwater world has remained acoustically ...

Research on the Influencing Factors and Configuration Paths of High-Quality Development of “Specialization, Refinement, ...

Introduction Repeated exposure to domestic violence (DV) is common among women; however, little is known about how women’s ...

Health research requires high-quality data, and population-based health research comes with specific opportunities and challenges for data collection. Electronic data capture can mitigate some of the ...

Abstract: Big data applications such as Artificial Intelligence (AI) and Internet of Things (IoT) have in recent years been leading to many technological breakthroughs in system modeling. However, ...