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This article has been peer reviewed. It is the authors' final version prior to publication in Clinical Pharmacology and Therapeutics

Volume 99, Issue 3, March 2016, Pages 250-254.

The published version is available at DOI: 10.1002/cpt.322. Copyright © ASPCT


Enabling omic technologies adopt a holistic view to produce unprecedented insights into the molecular underpinnings of health and disease, in part, by generating massive high-dimensional biological data. Leveraging these systems-level insights as an engine driving the healthcare evolution is maximized through integration with medical, demographic, and environmental datasets from individuals to populations. Big data analytics has accordingly emerged to add value to the technical aspects of storage, transfer, and analysis required for merging vast arrays of omic-, clinical-, and eco-datasets. In turn, this new field at the interface of biology, medicine, and information science is systematically transforming modern therapeutics across discovery, development, regulation, and utilization.

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