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