COVID-19 and renal involvement in children: a retrospective study.

Background: The New coronavirus (SARS COV-2) can cause acute respiratory disease and also multiorgan dysfunction. There is insufficient data about kidney involvement in children. So, this study was done on children with COVID-19 to evaluate nephrological involvement.

The effect of Myo-Inositol supplement on molecular regulation of folliculogenesis, steroidogenesis, and assisted reproductive technique outcomes in patients with polycystic ovarian syndrome.

Research Question: The mechanism of Myo-Inositol, as an adjuvant, on key signaling pathways related to oocyte maturation, fertilization rate, and embryo quality as well as ovarian steroidogenesis in cumulus cells of PCOS patients, is still unclear.

Design: Infertile patients who were candidates for ART cycles were divided into three groups (n = 30 in each group), including group 1: PCOS patients only receiving folic acid, group 2: PCOS patients receiving daily Myo-Inositol combined with folic acid, and a control group (group 3): normal ovulatory women without PCOS receiving only folic acid from 1 month prior to IVF cycle until the day of ovum pick up. During the ART procedure, oocytes maturation, fertilization rate, and embryo quality were assessed.

Accuracy of Machine Learning Models to Predict Mortality in COVID-19 Infection Using the Clinical and Laboratory Data at the Time of Admission.

Aim This study aimed to develop a predictive model to predict patients' mortality with coronavirus disease 2019 (COVID-19) from the basic medical data on the first day of admission. Methods The medical data including the demographic, clinical, and laboratory features on the first day of admission of clinically diagnosed COVID-19 patients were documented. The outcome of patients was also recorded as discharge or death.

The Role of Machine Learning and Radiomics for Treatment Response Prediction in Idiopathic Normal Pressure Hydrocephalus.

Introduction Ventricular shunting remains the standard of care for patients with idiopathic normal pressure hydrocephalus (iNPH); however, not all patients benefit from the shunting. Prediction of response in advance can result in improved patient selection for ventricular shunting. This study aims to develop a machine learning predictive model for treatment response after shunt placement using the clinical and radiomics features.

Zinc Supplementation Might Not Affect Serum Leptin and Adiponectin Levels in Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Clinical Trials.

Background: Zinc as one of the important trace elements in human health has been suggested to be a supplement for modifying the level of adipokines, whereas findings from studies have been inconsistent. This study aimed to systematically review the evidence provided by randomized controlled trials (RCTs) regarding the effect of zinc supplementation on serum adipokines levels.

Methods: PubMed, Google Scholar, Web of Science, and Scopus were systematically searched up to June 2019.