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Webinar: Text mining drug labels: Driving efficiency with effective search, compare and extract capabilities


Time: 9:00am PDT, 12:00pm EDT, 4:00pm GMT, 5:00pm CET

Duration: 60 minutes


Regulatory, labelling, medical and safety teams can spend a significant amount of time searching for the right labels and label-based information for comparison and analysis. Having to do this across disparate label sources and in multiple languages can pose a significant challenge. Applying natural language processing-based solutions can provide users with access to the right label information from dedicated sources such as FDA drug labels, and EMA Drug Labels. This can help to streamline label creation, generate regulatory intelligence across label databases, and understand competitor products.

In this webinar, we will talk about case studies (FDA, GSK) and a demonstration of IQVIA’s updated and improved drug label explorer solution. Join us to hear more about this exciting space. 

What you will learn:

  • How NLP can enable effective search over large regulatory document databases 
  • Approaches to improve precision of search to help teams save time and improve quality of analysis


Hywel Evans, Director, NLP Insights Hub at IQVIA
Hywel Evans
Director, NLP Insights Hub at IQVIA
Jane Reed - Director, Life Science
Jane Reed
Director, Life Science

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