Literature DB >> 26888297

Big Data Transforms Discovery-Utilization Therapeutics Continuum.

S A Waldman1, A Terzic2.   

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.
© 2015 ASCPT.

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Year:  2016        PMID: 26888297      PMCID: PMC4762048          DOI: 10.1002/cpt.322

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  13 in total

1.  Health-care hit or miss?

Authors:  William Hersh; Julie A Jacko; Robert Greenes; Joseph Tan; Daniel Janies; Peter J Embi; Philip R O Payne
Journal:  Nature       Date:  2011-02-17       Impact factor: 49.962

2.  Use of internet search logs to evaluate potential drug adverse events.

Authors:  S Sarntivijai; D R Abernethy
Journal:  Clin Pharmacol Ther       Date:  2014-08       Impact factor: 6.875

3.  The role of big data and advanced analytics in drug discovery, development, and commercialization.

Authors:  N Szlezák; M Evers; J Wang; L Pérez
Journal:  Clin Pharmacol Ther       Date:  2014-02-20       Impact factor: 6.875

4.  The FDA's role in the development of medical mobile applications.

Authors:  J Shuren
Journal:  Clin Pharmacol Ther       Date:  2014-05       Impact factor: 6.875

5.  Managing the innovation supply chain to maximize personalized medicine.

Authors:  S A Waldman; A Terzic
Journal:  Clin Pharmacol Ther       Date:  2014-02       Impact factor: 6.875

6.  Molecular insights provide the critical path to disease mitigation.

Authors:  S A Waldman; A Terzic
Journal:  Clin Pharmacol Ther       Date:  2014-01       Impact factor: 6.875

7.  Exploring the FDA adverse event reporting system to generate hypotheses for monitoring of disease characteristics.

Authors:  H Fang; Z Su; Y Wang; A Miller; Z Liu; P C Howard; W Tong; S M Lin
Journal:  Clin Pharmacol Ther       Date:  2014-01-21       Impact factor: 6.875

Review 8.  Big data in biomedicine.

Authors:  Fabricio F Costa
Journal:  Drug Discov Today       Date:  2013-10-29       Impact factor: 7.851

9.  Clinically actionable genotypes among 10,000 patients with preemptive pharmacogenomic testing.

Authors:  S L Van Driest; Y Shi; E A Bowton; J S Schildcrout; J F Peterson; J Pulley; J C Denny; D M Roden
Journal:  Clin Pharmacol Ther       Date:  2013-11-19       Impact factor: 6.875

10.  Phenotype standardization for statin-induced myotoxicity.

Authors:  A Alfirevic; D Neely; J Armitage; H Chinoy; R G Cooper; R Laaksonen; D F Carr; K M Bloch; J Fahy; A Hanson; Q-Y Yue; M Wadelius; A H Maitland-van Der Zee; D Voora; B M Psaty; C N A Palmer; M Pirmohamed
Journal:  Clin Pharmacol Ther       Date:  2014-06-04       Impact factor: 6.875

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  7 in total

1.  Clinical Pharmacology & Therapeutics: Past, Present, and Future.

Authors:  S A Waldman; A Terzic
Journal:  Clin Pharmacol Ther       Date:  2017-03       Impact factor: 6.875

2.  Applying a "Big Data" Literature System to Recommend Antihypertensive Drugs for Hypertension Patients with Diabetes Mellitus.

Authors:  Jing-Xian Shu; Ying Li; Ting He; Ling Chen; Xue Li; Lin-Lin Zou; Lu Yin; Xiao-Hui Li; An-Li Wang; Xing Liu; Hong Yuan
Journal:  Med Sci Monit       Date:  2018-01-07

3.  Ethics and Epistemology in Big Data Research.

Authors:  Wendy Lipworth; Paul H Mason; Ian Kerridge; John P A Ioannidis
Journal:  J Bioeth Inq       Date:  2017-03-20       Impact factor: 1.352

4.  Peer Review Certifies Quality and Innovation in Clinical Pharmacology & Therapeutics.

Authors:  S A Waldman; A Terzic
Journal:  Clin Pharmacol Ther       Date:  2017-09       Impact factor: 6.875

5.  Managing Innovation to Maximize Value Along the Discovery-Translation-Application Continuum.

Authors:  S A Waldman; A Terzic
Journal:  Clin Pharmacol Ther       Date:  2016-11-21       Impact factor: 6.875

6.  The Regenerative Horizon: Opportunities for Nursing Research and Practice.

Authors:  Linda L Chlan; Cindy Tofthagen; Andre Terzic
Journal:  J Nurs Scholarsh       Date:  2019-09-30       Impact factor: 3.176

Review 7.  Crowd-Sourced Chemistry: Considerations for Building a Standardized Database to Improve Omic Analyses.

Authors:  Jaqueline A Picache; Jody C May; John A McLean
Journal:  ACS Omega       Date:  2020-01-09
  7 in total

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