APPLICATION OF TARGETED HIGH-THROUGHPUT SEQUENCING AS A DIAGNOSTIC TOOL FOR NEONATAL GENETIC METABOLIC DISEASES FOLLOWING TANDEM MASS SPECTROMETRY SCREENING

Application of targeted high-throughput sequencing as a diagnostic tool for neonatal genetic metabolic diseases following tandem mass spectrometry screening

BackgroundTandem mass spectrometry (MS/MS) is a crucial technique for detecting inborn errors of metabolism (IEM) in newborns.However, the high false positive rate poses challenges in diagnosing specific types of diseases.Therefore, this study aimed to evaluate the role of targeted next-generation sequencing (NGS) in Dress Up Accessories the accura

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What do we need to know? Data sources to support evidence-based decisions using health technology assessment in Ghana

Abstract Background Evidence-based decision-making for prioritising health is assisted by health technology assessment (HTA) to integrate data on effectiveness, costs and equity to support transparent decisions.Ghana is moving towards universal health coverage, facilitated mainly by the National Health Insurance Scheme (NHIS) established in 2003.Th

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Promises, pitfalls, and basic guidelines for applying machine learning classifiers to psychiatric imaging data, with autism as an example

Most psychiatric disorders are associated with subtle alterations in brain function and are subject to large inter-individual differences.Typically the diagnosis of these disorders requires time-consuming behavioral assessments administered by a multi-disciplinary team with extensive experience.Whilst the application of machine learning classificat

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Comprehensive analysis of vaginal microbiota in Chinese women with genital tuberculosis: implications for diagnosis and treatment

Abstract Background Tuberculosis remains an infectious disease of global concern, with potential impacts on respiratory and intestinal microbiota owing to prolonged broad-spectrum antibiotic therapy.Despite its potential to cause infertility, the vaginal microbiota of women with genital tuberculosis remains poorly understood.We comprehensively anal

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