Publications by authors named "N B Amin"

Single-cell long-read sequencing has transformed our understanding of isoform usage and the mutation heterogeneity between cells. Despite unbiased in-depth analysis, the low sequencing throughput often results in insufficient read coverage thereby limiting our ability to perform mutation calling for specific genes. Here, we developed a single-cell Rapid Capture Hybridization sequencing (scRaCH-seq) method that demonstrated high specificity and efficiency in capturing targeted transcripts using long-read sequencing, allowing an in-depth analysis of mutation status and transcript usage for genes of interest.

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Augmenting traditional genome-wide association studies (GWAS) with advanced machine learning algorithms can allow the detection of novel signals in available cohorts. We introduce "genome-wide association neural networks (GWANN)" a novel approach that uses neural networks (NNs) to perform a gene-level association study with family history of Alzheimer's disease (AD). In UK Biobank, we defined cases (n = 42 110) as those with AD or family history of AD and sampled an equal number of controls.

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Background: The pandemic of coronavirus disease-19 (COVID-19) has a profound influence on the health of the population. This study aimed to assess the weight changes and its relation to the dietary habits and physical activity among adult Egyptian population during the second wave of COVID-19 pandemic.

Materials And Methods: This cross-sectional study was conducted using anonymous online questionnaire.

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Introduction Biologics are substantial in the treatment of different diseases; however, they can burden the healthcare systems due to their high cost. Biosimilars can help healthcare systems keep their financial sustainability and patients access to biological therapies. The research objective is to formulate a framework for integrating biosimilars in the private healthcare sector of the United Arab Emirates (UAE).

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