When:
Time: 8:00am PST, 11:00am EST, 4:00pm GMT, 5:00pm CET
Duration: 60 minutes
In the Life Science industry, researchers and clinicians need to base decisions on the best possible view of data. As 80% of data resides in unstructured sources, rapid effective access to the knowledge buried in text documents is essential. This webinar demonstrates how NLP and advanced text analytics provide a powerful solution to these challenges. Use cases span from drug discovery, development and safety, through to post-market surveillance and healthcare delivery.
What you will learn:
During the webinar we will review how NLP can reduce manual effort and provide support across multiple areas in life science including:
- Gene-disease associations
- Drug safety
- Patent analytics
- Clinical trial analytics
- Real world data
- Precision medicine
Who should attend?
This webinar demonstrates some uses of NLP across a variety of data sources, and will be of interest to anyone who wants to understand more about the power of NLP to gain more value from unstructured text:
- Informaticians, Information Professionals, Researchers, Managers
- Pharma, Biotech and related industries
Responsible for:
- Target ID/Validation
- Biomarker discovery and precision medicine
- Clinical trial analytics
- Safety/Tox
- Pharmacovigilance
- Real world data
- Medical affairs
Speakers
Jane Reed
Director of Life Sciences, Linguamatics NLPJane Reed
Dr. Jane Reed is Director, Life Sciences, at Linguamatics, an IQVIA company. Jane 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 sciences informatics. She has 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.
Sridevi Krishnamurthy
Application ScientistSridevi Krishnamurthy
Sridevi joined Linguamatics as an Application Scientist in 2019. In this role, Sridevi is responsible for applying NLP techniques to a variety of different data sources to derive insights and help customers find answers to their questions in a much more efficient manner.
