IJMMS_2024v14n1

International Journal of Molecular Medical Science, 2024, Vol.14, No.1, 61-68 http://medscipublisher.com/index.php/ijmms 61 Research Report Open Access Optimizing Drug Therapy Using Genomic Information: A Pathway to Personalized Medicine Shuyi Chen Institute of Life Science, Jiyang College of Zhejiang A&F University, Zhuji, 311800, China Corresponding author email: ssoy1@outlook.com International Journal of Molecular Medical Science, 2024, Vol.14, No.1 doi: 10.5376/ijmms.2024.14.0009 Received: 01 Mar., 2024 Accepted: 02 Apr., 2024 Published: 12 Apr., 2024 Copyright © 2024 Chen, This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Preferred citation for this article: Chen S.Y., 2024, Optimizing drug therapy using genomic information: a pathway to personalized medicine, International Journal of Molecular Medical Science, 14(1): 61-68 (doi: 10.5376/ijmms.2024.14.0009) Abstract This article explores the utilization of genomic information to optimize drug treatment, aiming to achieve personalized healthcare. As an emerging medical model, personalized healthcare aims to develop precise treatment plans based on patients' genomic information, thereby enhancing treatment outcomes and minimizing side effects. Initially, the importance of genomic information in personalized healthcare is introduced, encompassing its application in precise drug development and preventive medicine. The article then analyzes successful cases and challenges in the practical application of personalized healthcare, discussing technical limitations and cost issues in acquiring and analyzing Genomic data. Furthermore, ethical, privacy, and regulatory considerations in personalized healthcare are explored, along with suggestions and strategies to promote its development. Additionally, the future trends of genomic information in optimizing drug treatment and personalized healthcare are predicted, emphasizing the significance of interdisciplinary collaboration and technological innovation. Through comprehensive analysis and outlook, this article aims to provide beneficial insights and directions for the advancement of personalized healthcare. Keywords Genomic information; Drug therapy; Personalized medicine; Drug development In today's medical field, the concept of personalized medicine has gradually emerged and become an important direction to promote medical progress (Lai et al., 2020). Personalized medicine, in short, refers to providing patients with tailor-made treatment plans based on individual differences such as genetic characteristics, physiological status, and environmental factors. This medical model emphasizes the accuracy and effectiveness of treatment, aiming to improve patients' treatment effects and quality of life, reduce medical costs, and promote the rational allocation of medical resources. The importance of personalized medicine is self-evident. By taking into account individual differences, personalized medicine can significantly improve treatment effects and reduce drug side effects, thereby improving patients' quality of life. Personalized medicine helps reduce health care costs. The traditional "one size fits all" treatment model often leads to waste and overuse of resources, while personalized medicine can reduce unnecessary medical expenditures through precise treatment (Salari and Larijani, 2017). Personalized medicine is also an inevitable trend in the development of medicine. With the rapid development of genomics, molecular biology and other disciplines, humans have a deeper and deeper understanding of individual differences, providing strong technical support for personalized medicine. In the practice of personalized medicine, genomic information plays a crucial role. Genome is the carrier of genetic information of an organism and contains key information that determines individual physiological characteristics, disease susceptibility, and drug response. By analyzing genomic information, we can gain a deeper understanding of an individual's genetic background and predict their response and efficacy to specific drugs, thereby providing a scientific basis for personalized treatment. This study aims to deeply explore the role of genomic information in optimizing drug treatment and how to use this information to achieve personalized medicine (Yang et al., 2021).

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