Burden of Respiratory Disease in Pediatric Intensive Care Unit: Experience from a PICU of a Tertiary Care Center in Pakistan.

Introduction: We aimed to determine the burden of respiratory disease by examining clinical profiles and associated predictors of morbidity and mortality of patients admitted to a Pediatric Intensive Care Unit (PICU) in Pakistan, a resource limited country. We also stratified the respiratory diseases as defined by the Pediatric Advanced Life Support (PALS) Classification.

Methods: A retrospective study was conducted on children aged 1 month to 18 years who were diagnosed with respiratory illness at the PICU in a tertiary hospital in Karachi, Pakistan.

Novel electrochemical ZnO/MnO/rGO nanocomposite-based catalyst for simultaneous determination of hydroquinone and pyrocatechol.

An innovative electrochemical sensing method is introduced for dihydroxy benzene (DHB) isomers, specifically hydroquinone (HQ) and pyrocatechol (PCC), employing a zinc-oxide/manganese-oxide/reduced-graphene-oxide (ZnO/MnO/rGO) nanocomposite (NC) as an electrode modifier material. Comprehensive characterization confirmed well-dispersed ZnO/MnO nanoparticles on rGO sheets. Electrochemical analysis revealed the ZnO/MnO/rGO-NC-based modified electrode possesses low electrical resistance (126.

A cost-sensitive deep neural network-based prediction model for the mortality in acute myocardial infarction patients with hypertension on imbalanced data.

Background And Objectives: Hypertension is one of the most serious risk factors and the leading cause of mortality in patients with cardiovascular diseases (CVDs). It is necessary to accurately predict the mortality of patients suffering from CVDs with hypertension. Therefore, this paper proposes a novel cost-sensitive deep neural network (CSDNN)-based mortality prediction model for out-of-hospital acute myocardial infarction (AMI) patients with hypertension on imbalanced data.

In silico ADMET profiling of Docetaxel and development of camel milk derived liposomes nanocarriers for sustained release of Docetaxel in triple negative breast cancer.

This study aimed at encapsulation of commonly administered, highly cytotoxic anticancer drug Docetaxel (DTX) in camel milk fat globule-derived liposomes for delivery in triple negative breast cancer cells. Prior to liposomal encapsulation of drug, in silico analysis of Docetaxel was done to predict off target binding associated toxicities in different organs. For this purpose, the ADMET Predictor (TM) Cloud version 10.