Publications by authors named "Y Mecheri"
Article Synopsis
- Copy Number Variations (CNVs) are crucial in understanding complex diseases and vary across different populations, necessitating large sample studies for accurate analysis.
- The CNV-Finder pipeline utilizes deep learning, specifically Long Short-Term Memory (LSTM) networks, to streamline the identification of CNVs in specific genomic areas, making subsequent analyses like genome sequencing more efficient.
- The tool has been validated with data from various cohorts, focusing on genes related to neurological diseases, and includes an interactive web application for researchers to visualize and refine their findings based on model predictions.
Article Synopsis
- Over 80% of genetic studies on Parkinson's disease focus on individuals of European descent, highlighting a gap in understanding the disease across diverse global populations.
- Environmental and genetic factors influencing PD vary by ancestry, emphasizing the need for worldwide research initiatives to identify new genes and risk factors involved in the disease.
- The article reviews the limited genetic research on Parkinson's disease in AfrAbia, pointing out existing gaps and challenges while discussing historical interactions and clinical aspects of the disease in this population.
Aims: While pulmonary embolism (PE) appears to be a major issue in COVID-19, data remain sparse. We aimed to describe the risk factors and baseline characteristics of patients with PE in a cohort of COVID-19 patients.
Methods And Results: In a retrospective multicentre observational study, we included consecutive patients hospitalized for COVID-19.