When:
Time: 8:00am PDT, 11:00am EDT, 4:00pm BST, 5:00pm CEST
Duration: 60 minutes
There are many tasks in pharma, from discovery to medical, development to commercialization, that rely heavily on having and using the right data. Finding and extracting the right data, however, is no easy task, and must be done against the backdrop of the ever-increasing volume of data being generated. Add to this, the challenges of document-based or unstructured data, where information is not consistently written or referenced, and meta data is poor or incomplete.
In this webinar, you will hear about how we tackle some of these challenges by applying natural language processing to high value, large scale data sources and making them available to users to find, extract and use the specific information they need. We will share examples of these data sources being used to solve real problems and demonstrate some of the tools we use to instantly access, navigate and start analyzing these data.
You will learn about:
Which data sources you can readily get value from with text mining and search
Challenges with specific sources that are commonly experienced by users
The difference between using native search tools and natural language processing.
Enhanced search and visualization tools in action
Who should attend?
This webinar is suitable for teams that use and needs better experiences with key data sources such as FDA Drug Labels, ct.gov, Medline, Patents and more. This is relevant for teams in drug discovery, translational science, safety, regulatory affairs, HEOR, medical affairs and MSL leaders and managers.
Speakers
Jane Reed
Director, Life ScienceJane Reed
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.
Hywel Evans
Director, NLP Insights Hub at IQVIAHywel Evans
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.
