Work

Big Data Transforms Discovery–Utilization Therapeutics Continuum

Year: 2016

Type: editorial

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.

Source: Clinical Pharmacology & Therapeutics

DOI: 10.1002/cpt.322

Authors: SA Waldman, A Terzic

Institutions: Thomas Jefferson University, Mayo Clinic

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Mayo Clinic, National Cancer Institute