Bidirectional interplay of sleep apnea syndrome and cardio-vascular disorders in diabetes.

Although often overlooked sleep apnea has emerged as a significant public health concern. Obstructive sleep apnea (OSA) and diabetes commonly co-exist with a vicious cycle worsening the incidence and severity of both conditions. OSA has many implications including cardiometabolic disorders and impaired cardiovascular (CV) prognosis.

An Explainable AI Approach for Breast Cancer Metastasis Prediction Based on Clinicopathological Data.

Objective: Breast Cancer is the most prevalent cancer and the first cause of cancer deaths among women worldwide. In 90% of the cases, mortality is related to distant metastasis. Computer-aided prognosis systems using machine learning models have been widely used to predict breast cancer metastasis.

Metabolic syndrome screening in adolescents: New scores AI_METS based on artificial intelligence techniques.

Background And Aims: Metabolic syndrome (MetS) definitions in adolescents based on the percentiles of its components are rather complicated to use in clinical practice. The aim of this study was to test the validity of artificial intelligence (AI)-based scores (AI_METS) that do not use these percentiles for MetS screening for adolescents.

Methods And Results: This study included 1086 adolescents aged 12 to 18.

Urinary bisphenol levels in plastic industry workers.

Bisphenol A (BPA) is a known endocrine disruptor compound that is widely applied as a monomer base in polycarbonate plastics and as a binding agent in several epoxy resins. Plastic industry workers have usually heavier and prolonged exposures to BPA. Hence, the present work aims to assess the levels of BPA and their analogs (S, F, B, AF, Z, E, and AP) in 170 urine samples from a cross-sectional study of workers from a plastic industry located in north Constantine (Algeria).

Influence of waist circumference on blood pressure status in non-obese adolescents.

Objectives To check whether excess in abdominal adiposity and metabolic factors were associated with blood pressure abnormalities in non-obese adolescents. Methods We randomly selected 1100 adolescent students, aged 12-18 years, from schools and classrooms in the city of Constantine, Algeria. Among them 179 were overweight and 51 were obese (IOTF criteria).