Thesis Abstract

Abstract
In recent years, Next-Generation Sequencing (NGS) has emerged as a powerful tool in the field of medical laboratory science, particularly in the diagnosis and treatment of infectious diseases. This thesis explores the application of NGS technology in enhancing the accuracy, speed, and efficiency of diagnosing and treating infectious diseases. The research delves into the background of NGS technology, the current challenges in infectious disease diagnosis and treatment, and the potential benefits of integrating NGS into clinical practice. The study begins with a comprehensive introduction to the topic, highlighting the significance of incorporating NGS into medical laboratory practices. The background of the study provides a detailed overview of NGS technology, its principles, and its applications in the context of infectious disease diagnosis. The problem statement addresses the limitations of traditional diagnostic methods and the need for more advanced techniques to improve accuracy and efficiency. The objectives of the study focus on evaluating the effectiveness of NGS in diagnosing various infectious diseases and assessing its potential impact on treatment protocols. The limitations of the study are acknowledged, including challenges related to cost, data analysis, and implementation in resource-limited settings. The scope of the study outlines the specific infectious diseases and NGS platforms that will be examined. The literature review in this thesis encompasses ten key areas, including the current landscape of infectious disease diagnosis, the principles of NGS technology, and case studies demonstrating the successful application of NGS in clinical settings. The research methodology section details the approach taken to collect and analyze data, including sample collection, sequencing protocols, and data interpretation methods. The discussion of findings chapter presents the results of the study, highlighting the strengths and limitations of NGS in diagnosing and treating infectious diseases. The conclusions drawn from the research emphasize the potential of NGS to revolutionize infectious disease management and the need for further research to optimize its implementation in clinical practice. In summary, this thesis explores the transformative potential of NGS technology in the field of medical laboratory science, specifically in the context of diagnosing and treating infectious diseases. By leveraging the capabilities of NGS, healthcare providers can enhance diagnostic accuracy, personalize treatment plans, and ultimately improve patient outcomes in the realm of infectious disease management.

Thesis Overview

The project titled "Application of Next-Generation Sequencing in the Diagnosis and Treatment of Infectious Diseases" aims to explore the potential of utilizing next-generation sequencing (NGS) technology in revolutionizing the diagnosis and treatment of infectious diseases. Infectious diseases remain a significant global health concern, with their diagnosis and treatment often posing challenges due to the diverse nature of pathogens and their evolving resistance mechanisms. Traditional diagnostic methods for infectious diseases, such as culture-based techniques and polymerase chain reaction (PCR), have limitations in terms of accuracy, sensitivity, and speed of detection. This has led to delays in diagnosis, inappropriate treatment, and the emergence of drug-resistant strains. NGS technology offers a high-throughput approach that enables the simultaneous sequencing of millions of DNA fragments in a single run. This allows for the rapid and comprehensive analysis of microbial genomes, including bacteria, viruses, fungi, and parasites, present in clinical samples. By leveraging the power of NGS, researchers and healthcare professionals can achieve more precise and timely identification of pathogens, detection of antimicrobial resistance genes, and characterization of microbial diversity within a sample. This information can aid in the selection of appropriate antimicrobial therapies, monitoring of treatment efficacy, and prediction of disease outcomes. The research will delve into the various applications of NGS in infectious disease diagnostics, including metagenomic sequencing for unbiased pathogen detection, whole-genome sequencing for strain typing and outbreak investigations, and targeted sequencing for the detection of specific resistance genes. The project will also explore the integration of bioinformatics tools and databases for data analysis and interpretation, as well as the implementation of NGS in clinical settings to improve patient care and public health interventions. Furthermore, the study will investigate the challenges and limitations associated with the adoption of NGS technology in routine clinical practice, such as cost considerations, data management, standardization of protocols, and interpretation of complex results. Strategies for overcoming these obstacles will be explored to facilitate the successful integration of NGS into existing laboratory workflows and healthcare systems. Overall, the project on the "Application of Next-Generation Sequencing in the Diagnosis and Treatment of Infectious Diseases" seeks to contribute to the advancement of precision medicine and personalized healthcare by harnessing the potential of NGS technology to transform the way infectious diseases are diagnosed, treated, and managed. Through a comprehensive research overview and analysis, this study aims to provide valuable insights and recommendations for the effective implementation of NGS in infectious disease management, ultimately improving patient outcomes and public health outcomes.