Journal
EXPERT REVIEW OF CLINICAL PHARMACOLOGY
Volume 7, Issue 3, Pages 293-298Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1586/17512433.2014.905201
Keywords
big data; clinical pharmacology; personalized medicine; systems medicine; therapeutics
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Funding
- National Institutes of Health [CA170653]
- Lombardi Cancer Center CCSG grant [NIH-P30 CA51008]
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Advancements in genomics and personalized medicine not only effect healthcare delivery from patient and provider standpoints, but also reshape biomedical discovery. We are in the era of the '-omics', wherein an individual's genome, transcriptome, proteome and metabolome can be scrutinized to the finest resolution to paint a personalized biochemical fingerprint that enables tailored treatments, prognoses, risk factors, etc. Digitization of this information parlays into 'big data' informatics-driven evidence-based medical practice. While individualized patient management is a key beneficiary of next-generation medical informatics, this data also harbors a wealth of novel therapeutic discoveries waiting to be uncovered. 'Big data' informatics allows for networks-driven systems pharmacodynamics whereby drug information can be coupled to cellular-and organ-level physiology for determining whole-body outcomes. Patient '-omics' data can be integrated for ontology-based data-mining for the discovery of new biological associations and drug targets. Here we highlight the potential of 'big data' informatics for clinical pharmacology.
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