Bayesian dose prediction software supports model-informed precision dosing to improve therapeutic outcomes. This study evaluated clinicians’ awareness, usage, attitudes, and perceived barriers related ...

Objective Early prediction of long-term outcomes in patients with systemic lupus erythematosus (SLE) remains a great challenge in clinical practice. Our study aims to develop and validate predictive ...

Abstract: This paper explores the application of momentum mechanisms in predictive models, aiming to identify factors influencing momentum and develop a model for both quantitative and qualitative ...

In this study, we aimed to apply laboratory blood analysis to identify the hematological (based on hemoglobin concentration, erythrocytes, hematocrit, and RDW count) profiles associated with the most ...

fNational Institute for Health Research Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia, South London and Maudsley NHS Foundation Trust, London, UK ...

Introduction Many developed countries including Japan are experiencing declining birth rates, particularly in urban areas. A gap between the planned number of children and the actual number of ...

Objective Adults typically overestimate height and underestimate weight compared with directly measured values, and such misreporting varies by sociodemographic and health-related factors. Using ...

Many leaders today do not rise through the ranks but are recruited directly out of graduate programs into leadership positions. We use a quasi-experiment and instrumental-variable regression to ...

Atherosclerotic plaques progress in a highly individual manner. The purposes of the Prediction of Progression of Coronary Artery Disease and Clinical Outcome Using Vascular Profiling of Shear Stress ...

The ECG strain pattern of lateral ST depression and T-wave inversion is a marker for left ventricular hypertrophy (LVH) and adverse prognosis in population studies. However, whether ECG strain is an ...