Background Mortality and readmission rates are high in low-income countries following hospital discharge; however, few ...

Abstract: Software projects often fail due to poor effort estimation, which can lead to issues such as wasted time and resources. Developing software requires significant time, money, and skilled ...

aDepartment of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, Uppsala, Sweden bUnit of Clinical Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, ...

Background Multimorbidity is socially patterned, with lower socioeconomic position (SEP) linked to higher risk. We examined whether a Healthy Lifestyle Index (HLI) mediates the SEP–multimorbidity ...

Introduction: In occupational epidemiology, accurately quantifying exposure-response relationships is crucial. Methods: We introduce a threshold Cox model that includes a change point term to identify ...

A typical hypertensive heart disease phenotype is the left ventricular hypertrophy (LVH) and dysfunction, measurable via LV mass and global longitudinal strain. We aimed to evaluate the LV ...

Background: The positive feedback loop between cancer stemness and the hypoxic microenvironment is a critical driver of hepatocellular carcinoma (HCC) progression. Analyzing their interaction in HCC ...

Abstract: This study investigates the dependence between the timing of cataract surgeries in both eyes using a copula-based bivariate Cox regression model. A total of 520 patients with bilateral ...

Patients with type 2 diabetes (T2D) and obstructive sleep apnea (OSA) who were prescribed continuous positive airway pressure (CPAP) had a 26% lower risk for mortality than patients with T2D not ...

Development of a Machine Learning Model for Aspyre Lung Blood: A New Assay for Rapid Detection of Actionable Variants From Plasma in Patients With Non–Small Cell Lung Cancer During a median follow-up ...