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This study provides a comprehensive review of the role of bioinformatics in personalized medicine, particularly focusing on its integration with genomics and the consequent revolution in healthcare delivery. The primary objective was to explore how bioinformatics facilitates the transition from traditional healthcare practices to more personalized, predictive, and patient-centered medical treatments. Utilizing a systematic literature review and content analysis, the study examined peer-reviewed articles, conference proceedings, and reports from key databases like PubMed, Web of Science, and Scopus, focusing on publications from 2010 to 2023. Key findings highlight the significant advancements in genomic sequencing technologies and their application in personalized therapeutics. The integration of bioinformatics tools in healthcare systems has shown a substantial impact on patient care, emphasizing the importance of ethical and economic considerations, data privacy, and security. The study also revealed the crucial role of collaborations and partnerships within the industry and healthcare systems for the advancement of personalized medicine. The future landscape of genomic medicine presents both opportunities and challenges, particularly in disease prediction, prevention, and treatment. The study concludes with strategic recommendations for healthcare practitioners and policymakers, emphasizing the need for continuous education, robust policy frameworks, and equitable access to personalized medicine. Future research directions include the development of advanced bioinformatics tools, exploration of ethical implications, and …