Research Article

Ethical Issues in Personalized Medicine: Privacy, Consent, and Data Sharing  

Wei Wang
Institute of Life Science, Jiyang College of Zhejiang A&F University, Zhuji, 311800, China
Author    Correspondence author
GMO Biosafety Research, 2024, Vol. 15, No. 1   doi: 10.5376/gmo.2024.15.0002
Received: 20 Nov., 2023    Accepted: 29 Dec., 2023    Published: 12 Jan., 2024
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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:

Wang W., 2024, Ethical issues in personalized medicine: Privacy, consent, and data sharing, GMO Biosafety Research, 15(1): 7-x (doi: 10.5376/gmo.2024.15.0002)

Abstract

This study explores the ethical issues involved in personalized medicine, focusing primarily on privacy, consent, and data sharing. First, the background and importance of the development of personalized medicine are introduced, followed by a detailed analysis of the ethical challenges in this field, including privacy, consent, and data sharing. Regarding consent issues, the article discusses the definition and requirements of informed consent, obstacles and challenges in the consent process, and future-oriented consent models. In terms of data sharing, it focuses on the benefits and risks of sharing data, anonymization and de-identification in shared data, data ownership and control, and ethical considerations for international data sharing. Finally, the importance of addressing ethical issues in personalized medicine is emphasized, and future research directions and suggestions are proposed. By comprehensively analyzing ethical issues in personalized medicine, this article aims to provoke deep thinking about medical ethics, promote the standardization and legitimacy of medical practice, and ensure the effective protection of patient rights and public interests.

Keywords
Personalized medicine; Ethical issues; Privacy; Consent; Data sharing
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