Abstract
Despite recent advancements in "omic" technologies, personalized medicine has not realized its fullest potential due to isolated and incomplete application of gene expression tools. In many instances, pharmacogenomics is being interchangeably used for personalized medicine, when actually it is one of the many facets of personalized medicine. Herein, we highlight key issues that are hampering the advancement of personalized medicine and highlight emerging predictive tools that can serve as a decision support mechanism for physicians to personalize treatments. © 2014 ASCPT All rights reserved.
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CITATION STYLE
Jayachandran, D., Ramkrishna, U., Skiles, J., Renbarger, J., & Ramkrishna, D. (2014). Revitalizing personalized medicine: Respecting biomolecular complexities beyond gene expression. CPT: Pharmacometrics and Systems Pharmacology, 3(4). https://doi.org/10.1038/psp.2014.6
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