title: Big Data Transforms Discovery-Utilization Therapeutics Continuum.
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.
authors.affiliation: Department of Pharmacology and Experimental Therapeutics, Division of Clinical Pharmacology, Department of Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
authors.forename: S A
authors.initials: SA
authors.lastname: Waldman
authors.affiliation: Mayo Clinic Center for Regenerative Medicine, Divisions of Cardiovascular Diseases and Clinical Pharmacology, Departments of Medicine, Molecular Pharmacology and Experimental Therapeutics and Medical Genetics, Mayo Clinic, Rochester, Minnesota, USA.
authors.forename: A
authors.initials: A
authors.lastname: Terzic
mesh_terms: D016208:Databases, Factual; D055808:Drug Discovery / Q000379:methods*; D006801:Humans; D058990:Molecular Targeted Therapy / Q000379:methods; D012449:Safety