Machine learning and molecular docking prediction of potential inhibitors against dengue virus.

Introduction: Dengue Fever continues to pose a global threat due to the widespread distribution of its vector mosquitoes, and . While the WHO-approved vaccine, Dengvaxia, and antiviral treatments like Balapiravir and Celgosivir are available, challenges such as drug resistance, reduced efficacy, and high treatment costs persist. This study aims to identify novel potential inhibitors of the Dengue virus (DENV) using an integrative drug discovery approach encompassing machine learning and molecular docking techniques.

Interprofessional Collaboration and Patient/Family Engagement on Rounds in a Comprehensive Stroke Center: A Mixed-Methods Study.

Background And Objectives: Daily rounds provide an opportunity for interprofessional collaboration and patient/family engagement, which are critical to stroke care. As part of a quality improvement program, we conducted a baseline assessment to examine interprofessional collaboration and patient/family engagement during the current rounding process in a 12-bed comprehensive stroke center. Findings from the baseline assessment will be used to inform the development, implementation, and evaluation of a new rounding model.

Host-microbiome determinants of ready-to-use supplemental food efficacy in acute childhood malnutrition.

Ready-to-use supplemental foods (RUSF) are energy-dense meals formulated to prevent and treat moderate and severe childhood acute malnutrition (MAM and SAM) in high-risk settings. Although lifesaving, the degree and durability of weight recovery with RUSF is unpredictable. We examined whether environmental enteric dysfunction (EED) and gut microbiota perturbations are risk factors for RUSF failure in a birth cohort of 416 rural Pakistani children followed for growth, common childhood illnesses, and biomarkers from blood, urine, and stool.