The Precision Medicine Nation

Bibliographic Data

ID20335992
AuthorsMaya Sabatello (0000-0003-4444-5389), Leon Wenliang Zhong (Hong Kong University of Science and Technology), Paul S Appelbaum, Peter Appelbaum (0000-0002-1940-0042), James Tin-Yau Kwok (0000-0002-4828-8248, Hong Kong University of Science and Technology)
Year2017
Volume47
Issue4
Pages19-29
Publication date2017-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Hastings Center Report (JOURNAL)
Journal identifiersISSN: 0093-0334 • E-ISSN: 1552-146X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/hast.736
OpenAlexW28749054
LanguageEN
Citations received16
References cited62

The United States’ ambitious Precision Medicine Initiative proposes to accelerate exponentially the adoption of precision medicine, an approach to health care that tailors disease diagnosis, treatment, and prevention to individual variability in genes, environment, and lifestyle. It aims to achieve this by creating a cohort of volunteers for precision medicine research, accelerating biomedical research innovation, and adopting policies geared toward patients’ empowerment. As strategies to implement the PMI are formulated, critical consideration of the initiative's ethical and sociopolitical dimensions is needed. Drawing on scholarship of nationalism and democracy, we discuss the PMI's construction of what we term “genomic citizenship”; the possible normative obligations arising therefrom; and the ethical, legal, and social challenges that will ensue. Although the PMI is a work in progress, discussion of the existing and emerging issues can facilitate the development of policies, structures, and procedures that can maximize the initiative's ability to produce equitable and socially sensitive outcomes. Our analysis can also be applied to other population‐based, precision medicine research programs

Artificial neural network · Brier score · Calibration · Isotonic regression · Machine learning · Overfitting · Random subspace method · Regression · Sigmoid function · Statistics · Blind Source Separation Techniques · Computer Science · Face and Expression Recognition · Mathematics · Sparse and Compressive Sensing Techniques · Artificial Intelligence

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