Webinar: Advancing Drug Safety with Natural Language Processing

Drug safety is of critical importance, at all stages in drug discovery, development and delivery. Across the whole span, safety-relevant data is being both generated and sought from unstructured text – from internal safety reports, scientific literature, individual case safety reports, clinical investigator brochures, patient forum, social media, conference abstracts.

In this webinar you will learn:

  • How natural language processing (NLP) text mining can extract structured data from unstructured text in scientific papers, clinical trial databases, internal safety reports, FDA drug labels, and more
  • How big pharma access internal data silos and external data sources for safety decision making. Use cases include Merck for preclinical toxicology reports and Agios Pharmaceuticals for clinical safety

To view this webinar, you will first need to fill out a short webform: