Text mining of drug labels: Unlocking value for life science teams
Regulatory, labelling, medical and safety teams can spend a significant amount of time searching for the right labels and label-based information. Having to do this across disparate label sources and in multiple languages can pose a significant challenge. Applying natural language processing (NLP)-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 talk about case studies (FDA, GSK) and show a demonstration of using NLP for exploring drug labels.
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
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