Muharremi Guido, Meçani Renald, Muka Taulant
Epistudia, 3008 Bern, Switzerland.
Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8010 Graz, Austria.
J Pers Med. 2023 Dec 29;14(1):53. doi: 10.3390/jpm14010053.
Precision medicine (PM), through the integration of omics and environmental data, aims to provide a more precise prevention, diagnosis, and treatment of disease. Currently, PM is one of the emerging approaches in modern healthcare and public health, with wide implications for health care delivery, public health policy making formulation, and entrepreneurial endeavors. In spite of its growing popularity and the buzz surrounding it, PM is still in its nascent phase, facing considerable challenges that need to be addressed and resolved for it to attain the acclaim for which it strives. In this article, we discuss some of the current methodological pitfalls of PM, including the use of big data, and provide a perspective on how these challenges can be overcome by bringing PM closer to evidence-based medicine (EBM). Furthermore, to maximize the potential of PM, we present real-world illustrations of how EBM principles can be integrated into a PM approach.
精准医学（PM）通过整合组学和环境数据，旨在为疾病提供更精确的预防、诊断和治疗。目前，精准医学是现代医疗保健和公共卫生领域新兴的方法之一，对医疗服务提供、公共卫生政策制定以及创业活动都具有广泛影响。尽管其越来越受欢迎且备受关注，但精准医学仍处于起步阶段，面临着诸多需要解决的重大挑战，以便实现其追求的赞誉。在本文中，我们讨论了精准医学当前在方法上存在的一些缺陷，包括大数据的使用，并就如何通过使精准医学更贴近循证医学（EBM）来克服这些挑战提供了一种观点。此外，为了最大限度地发挥精准医学的潜力，我们展示了循证医学原则如何融入精准医学方法的实际案例。
