Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component.

As coronavirus disease 2019 (COVID-19) spreads across the world, the transfusion of efficient convalescent plasma (CP) to the most critical patients can be the primary approach to preventing the virus spread and treating the disease, and this strategy is considered as an intelligent computing concern. In providing an automated intelligent computing solution to select the appropriate CP for the most critical patients with COVID-19, two challenges aspects are bound to be faced: (1) distributed hospital management aspects (including scalability and management issues for prioritising COVID-19 patients and donors simultaneously), and (2) technical aspects (including the lack of COVID-19 dataset availability of patients and donors and an accurate matching process amongst them considering all blood types). Based on previous reports, no study has provided a solution for CP-transfusion-rescue intelligent framework during this pandemic that has addressed said challenges and issues.

Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review.

Coronaviruses (CoVs) are a large family of viruses that are common in many animal species, including camels, cattle, cats and bats. Animal CoVs, such as Middle East respiratory syndrome-CoV, severe acute respiratory syndrome (SARS)-CoV, and the new virus named SARS-CoV-2, rarely infect and spread among humans. On January 30, 2020, the International Health Regulations Emergency Committee of the World Health Organisation declared the outbreak of the resulting disease from this new CoV called 'COVID-19', as a 'public health emergency of international concern'.

Comparison of continuous glucose monitoring in adolescents with type 1 diabetes: Ramadan versus non-Ramadan.

Aim: To assess the impact of fasting on interstitial glucose (IG) in adolescents with type 1 DM (T1DM) by using continuous glucose monitoring (CGM).

Method: A minimum of 2.5 days CGM was done on adolescents with T1DM during fasting in Ramadan and in the month before or after Ramadan to compare the differences in mean IG, and in the durations of hypoglycemia (<70 mg/dL), hyperglycemia (200-299 mg/dL), and severe hyperglycemia (≥300 mg/dL).

A Newly-Discovered Mutation in the RFX6 Gene of the Rare Mitchell-Riley Syndrome.

Mitchell-Riley syndrome is a genetic disorder characterized by neonatal diabetes, pancreatic hypoplasia, intestinal atresia and/or malrotation, biliary atresia, and gallbladder aplasia or hypoplasia. It was considered a variant of the Martinez-Frias syndrome with similar phenotypic characteristics, except for neonatal diabetes and tracheoesophageal fistula. However, the genetic mutation in (regulatory factor X on chromosome 6) RFX6 was only detected in babies who had diabetes, making it different from the previously known mutations for the disease.

Genetic characteristics, clinical spectrum, and incidence of neonatal diabetes in the Emirate of AbuDhabi, United Arab Emirates.

Neonatal diabetes mellitus (NDM) can be transient (TNDM) or permanent (PNDM). Data on NDM from the Gulf region are limited to few studies on PNDM.The objective of this study was to describe the genetic and clinical spectrum of NDM and estimate its incidence in AbuDhabi, capital of the United Arab Emirate (UAE).

Prevalence of autoantibodies in type 1 diabetes patients and its association with the clinical presentation - UAE Eastern Region experience.

Background: Positive autoantibodies and its association with the clinical course of type 1 diabetes mellitus (T1DM) have been reported worldwide, however, no such data have been reported in United Arab Emirates population.

Objectives: To study the prevalence of positive autoantibodies in T1DM pediatric patients and its association with the clinical presentation.

Methods: Descriptive retrospective chart review of all new cases of pediatric T1DM at Tawam Hospital.