Towards precision prevention: Technologies for identifying healthy individuals with high risk of disease

Towards precision prevention: Technologies for identifying healthy individuals with high risk of disease

The rise of advanced technologies for characterizing human populations at the molecular level, from sequence to function, is shifting disease prevention paradigms toward personalized strategies. Because minimization of adverse outcomes is a key driver for treatment decisions for diseased populations...

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Bibliographic Details
Main Authors: Nagel, Zachary D. (Author), Brenner, David J. (Author), Begley, Thomas J. (Author), Sobol, Robert W. (Author), Bielas, Jason H. (Author), Stambrook, Peter J. (Author), Wei, Qingyi (Author), Hu, Jennifer J. (Author), Terry, Mary Beth (Author), Dilworth, Caroline (Author), McAllister, Kimberly A. (Author), Reinlib, Les (Author), Worth, Leroy (Author), Shaughnessy, Daniel T. (Author), Engelward, Bevin P (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering (Contributor)
Format: Article
Language:English
Published: Elsevier BV, 2018-09-13T14:36:14Z.
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