Related Experiment Video
Updated: Jul 31, 2026

Detection of Live Escherichia coli O157:H7 Cells by PMA-qPCR
Published on: February 1, 2014
Use of data mining at the Food and Drug Administration
Hesha J Duggirala1, Joseph M Tonning2, Ella Smith3
1Center for Veterinary Medicine, FDA Hesha.Duggirala@fda.hhs.gov.
Objectives:
This article summarizes past and current data mining activities at the United States Food and Drug Administration (FDA).
Target Audience:
We address data miners in all sectors, anyone interested in the safety of products regulated by the FDA (predominantly medical products, food, veterinary products and nutrition, and tobacco products), and those interested in FDA activities.
Scope:
Topics include routine and developmental data mining activities, short descriptions of mined FDA data, advantages and challenges of data mining at the FDA, and future directions of data mining at the FDA.
Related Concept Videos
Drug Regulation
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
FDA Approved Drugs: Changes to Approved Drugs
Therapeutic Drug Monitoring: Drug Analysis Methods
Pharmacogenomics: Identification of New Drug Targets
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

