Integrating Co-Clustering and Interpretable Machine Learning for the Prediction of Intravenous Immunoglobulin Resistance in Kawasaki Disease

Identifying intravenous immunoglobulin-resistant patients is essential for the Nursing prompt and optimal treatment of Kawasaki disease, suggesting the need for effective risk assessment tools.Data-driven approaches have the potential to identify the high-risk individuals by capturing the complex patterns of real-world data.To enable clinically app

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Models for Digitally Contact-Traced Epidemics

Barstool Contacts between people are the main drivers of contagious respiratory infections.For this reason, limiting and tracking contacts is a key strategy for controlling the COVID-19 epidemic.Digital contact tracing has been proposed as an automated solution to scale up traditional contact tracing.However, the required penetration of contact tra

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Mitral Annular Disjunction in Mitral Leaflet Prolapse: Prevalence, Clinical Profile and Echocardiographic Features at Tertiary Cardiac Care Centre, Rawalpindi

Objective: To determine the prevalence of Echocardiographically-recognizable Mitral Annular Disjunction in patients of Myxomatous Mitral Valve Disease/Mitral Leaflet Prolapse.Study design: Analytical Cross sectional.Place & Duration of study: Armed Forces Institute of Cardiology/National Institute of Heart Disease (AFIC/NIHD),Rawalpindi Pakistan fr

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Taming the fire of nephrotoxic botanicals

Criteria for diagnosing nephropathy and urothelial neoplasms induced by botanicals containing aristolochic acids (AAs) are well established.Highlights of recent research on AAs include mechanisms of Dolls House AA intrarenal transport and metabolism and vigorous debate on whether AAs may also cause liver cancers.Many other botanicals may also cause

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