CYAILGNov 4, 2019

Precision Medicine Informatics: Principles, Prospects, and Challenges

arXiv:1911.01014v138 citations
Originality Synthesis-oriented
AI Analysis

It addresses the need for a comprehensive technological perspective in precision medicine, which is incremental as it synthesizes existing knowledge into a framework.

This paper surveys advances in precision medicine from an informatics perspective, reviewing enabling tools and techniques, and proposes an integrated holistic framework to guide future research for seamless implementation.

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.

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