精准医学信息学：原理、前景与挑战
Precision Medicine Informatics: Principles, Prospects, and Challenges
摘要：
精准医学（PM）是一种新兴的方法，它改变了现有的医疗实践模式。技术创新和遗传学方面的最新进展以及健康数据的日益可用性为研究设定了新的步伐，并对不同的利益攸关方提出了一系列新的要求。迄今为止，已有一些研究讨论了PM的不同方面。然而，在应用和挑战方面，被认为赋予技术视角的那些方面的整体表现大多被忽视。在此背景下，本文调查的进展，PM从信息学的观点和审查的使能工具和技术分类的方式。此外，该研究还讨论了如何利用包括大数据、人工智能和物联网在内的其他技术范式来提升PM的潜力。此外，本文提供了一些指导方针，为未来的研究无缝实施和大规模部署PM的基础上确定的开放问题和相关的挑战。为此，本文提出了一个整合的整体框架PM激励情报学研究人员设计他们的相关研究工作在适当的情况下。
英文摘要：
Precision Medicine (PM) is an emerging approach that appears with the impression of changing the existing paradigm of medical practice. Recent advances in technological innovations and genetics, and the growing availability of health data have set a new pace of the research and imposes a set of new requirements on different stakeholders. To date, some studies are available that discuss about different aspects of PM. Nevertheless, a holistic representation of those aspects deemed to confer the technological perspective, in relation to applications and challenges, is mostly ignored. In this context, this paper surveys advances in PM from informatics viewpoint and reviews the enabling tools and techniques in a categorized manner. In addition, the study discusses how other technological paradigms including big data, artificial intelligence, and internet of things can be exploited to advance the potentials of PM. Furthermore, the paper provides some guidelines for future research for seamless implementation and wide-scale deployment of PM based on identified open issues and associated challenges. To this end, the paper proposes an integrated holistic framework for PM motivating informatics researchers to design their relevant research works in an appropriate context.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
