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Webinar: Introduction to NLP for Life Sciences

When: Tuesday 1st September, 2020

Time: 11:00am EDT; 8:00am PDT; 4:00pm BST; 5:00pm CEST.

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


Jane Z. Reed, Director Life Science, Linguamatics

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.

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