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 has over 18 years of experience in consulting, analytics and data solutions with multi-industry experience across life science, health, consumer, manufacturing and retail. Hywel has applied his behavioural science expertise to the creation of real-world data analytics solutions for patient level data, developing NLP powered search and insights solutions, machine learning for predictive resource allocation and digital behavioural patient and HCP insights. Hywel holds a Master's degree in Engineering from Cambridge University.
Jane Reed is Director of Life Science at Linguamatics. She is responsible for developing the strategic vision for Linguamatics’ growing product portfolio and business development in the life science domain. Jane has extensive experience in life science informatics. She worked for more than 15 years in vendor companies supplying data products, data integration and analysis, and consultancy to pharma and biotech—with roles at Instem, BioWisdom, Incyte, and Hexagen. Before moving into the life science industry, Jane worked in academia with post-docs in genetics and genomics.