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Updated: May 22, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Novel data-mining methodologies for adverse drug event discovery and analysis
R Harpaz1, W DuMouchel, N H Shah
1Department of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA. rave.harpaz@dbmi.columbia.edu
Abstract:
An important goal of the health system is to identify new adverse drug events (ADEs) in the postapproval period. Datamining methods that can transform data into meaningful knowledge to inform patient safety have proven essential for this purpose. New opportunities have emerged to harness data sources that have not been used within the traditional framework. This article provides an overview of recent methodological innovations and data sources used to support ADE discovery and analysis.
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