The Next Generation of Drug Safety Science: Coupling Detection, Corroboration, and Validation to Discover Novel Drug Effects and Drug-Drug Interactions-Reference-Cited by-同舟云学术

The Next Generation of Drug Safety Science: Coupling Detection, Corroboration, and Validation to Discover Novel Drug Effects and Drug-Drug Interactions

Published:2018-01-09 Issue:2 Volume:103 Page:177-179
ISSN:0009-9236
Container-title:Clinical Pharmacology & Therapeutics
language:en
Short-container-title:Clin. Pharmacol. Ther.

Author:

Tatonetti Nicholas P.¹²³⁴

Affiliation:

1. Department of Biomedical Informatics; Columbia University; New York New York USA

2. Department of Systems Biology; Columbia University; New York New York USA

3. Institute for Genomic Medicine; Columbia University; New York New York USA

4. Data Science Institute; Columbia University; New York New York USA

Funder

NIGMS

NCATS

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Reference10 articles.

1. Next-generation phenotyping of electronic health records;Hripcsak;J. Am. Med. Inform. Assoc.,2013

2. A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions;Puijenbroek;Pharmacoepidemiol. Drug Saf.,2002

3. Systems pharmacology augments drug safety surveillance;Lorberbaum;Clin. Pharmacol. Ther.,2014

4. Connecting the dots: Applications of network medicine in pharmacology and disease;Jacunski;Clin. Pharmacol. Ther.,2013

5. Detecting drug interactions from adverse-event reports: Interaction between paroxetine and pravastatin increases blood glucose levels;Tatonetti;Clin. Pharmacol. Ther.,2011

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