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Harness the full power of FDA Labeling

Our guide on using FDA Labeling AI for Drug Safety

ThinkTrends is advancing pharmacovigilance through AI and natural language processing (NLP) techniques, enabling the systematic extraction and analysis of valuable information from FDA drug labeling.

Learn how ThinkTrends Rx empowers medical reviewers and pharmacists to harness the untapped knowledge hidden within drug labeling, providing insights on efficacy, adverse reactions, drug interactions, and more, for enhanced research, regulatory compliance, and public health impact.


ThinkTrends Rx Ebook

Get the eBook

In this eBook, you'll learn:

The role of ThinkTrends in harnessing the full potential of FDA labeling through their Lactation Labeling Project and how they analyze lactation information in FDA-approved drug labeling.

How you can benefit from AI, NLP, and Computer Vision technologies to extract, categorize, and analyze critical information from FDA labeling, including adverse reactions, drug interactions, and pharmacogenomics.

The process of data ingestion, annotation, and taxonomy creation that enables effective analysis of labeling text, empowering researchers and analysts to gain valuable insights from FDA drug labeling.
“The lactation labeling project enabled us to rapidly obtain data for questions which we encounter frequently. For example, instead of manually reviewing labeling, we were able to gather which drugs had positive/negative human milk studies and positive/negative animal milk studies. ThinkTrends Rx was able to parse and retrieve this information in just clicks.”
 
Pharmacologist at Center of Drug Evaluation & Research (CDER) FDA
 
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