Big data transforms discoveryutilization therapeutics continuum

S. A. Waldman, Andre Terzic

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)250-254
Number of pages5
JournalClinical Pharmacology and Therapeutics
Volume99
Issue number3
DOIs
StatePublished - Mar 1 2016

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Information Science
Medicine
Demography
Technology
Delivery of Health Care
Health
Therapeutics
Population
Datasets

ASJC Scopus subject areas

  • Pharmacology
  • Pharmacology (medical)

Cite this

Big data transforms discoveryutilization therapeutics continuum. / Waldman, S. A.; Terzic, Andre.

In: Clinical Pharmacology and Therapeutics, Vol. 99, No. 3, 01.03.2016, p. 250-254.

Research output: Contribution to journalArticle

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