Thesis Abstract

Abstract
Next-generation sequencing (NGS) technology has revolutionized the field of clinical diagnostics, offering rapid and comprehensive analysis of microbial genomes for the detection and characterization of infectious diseases. This thesis explores the implementation of NGS in clinical diagnostics for infectious diseases, focusing on its potential benefits, challenges, and implications for patient care. The study begins with an in-depth review of the background and current landscape of infectious disease diagnostics, highlighting the limitations of traditional methods and the need for more advanced technologies. The research methodology section outlines the steps taken to evaluate the use of NGS in clinical settings, including sample collection, sequencing protocols, data analysis, and interpretation of results. The study also addresses important considerations such as cost-effectiveness, scalability, and regulatory requirements associated with implementing NGS in routine clinical practice. Chapter four presents a detailed discussion of the findings obtained from the analysis of NGS data in the context of infectious disease diagnosis. The results demonstrate the potential of NGS to identify pathogens with high accuracy, detect antimicrobial resistance genes, and provide valuable insights into the epidemiology and transmission dynamics of infectious diseases. In conclusion, this thesis underscores the significance of integrating NGS technology into clinical diagnostics for infectious diseases, emphasizing its ability to enhance diagnostic accuracy, guide treatment decisions, and improve patient outcomes. The findings of this study contribute to the growing body of evidence supporting the use of NGS as a powerful tool for precision medicine in infectious disease management. Through careful consideration of the challenges and opportunities associated with NGS implementation, this research aims to inform future strategies for optimizing the use of advanced sequencing technologies in clinical practice.

Thesis Overview