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 regulatory and medical affairs.

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 for biomarker discovery and omics annotations
• Adverse event detection and context for safety assessment
• Clinical trial analytics for trial design, clinical outcomes landscape
• Drug label review for labelling teams
• Medical affairs insights for voice of the customer feeds, pre-launch analytics
• 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:

Therapeutic area experts, safety assessment teams, labeling and regulatory affairs teams, medical and commercial teams

Informaticians, Information Professionals, Researchers, Managers

Pharma, Biotech and related industries

Speakers:

Jane Reed
Director of Life Science at IQVIA NLP

Peng Zhang
Senior Application Scientist at IQVIA NLP