Webinar: Introduction to text analytics & Natural Language Processing from Molecule to Market
Across the molecule to market continuum, 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. Natural Language processing (NLP) allows organizations to transform unstructured text into actionable structured data that can be rapidly visualized and analyzed, for decision support.
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 including:
- Gene-disease associations
- Drug safety
- Patent analytics
- Clinical trial analytics
- Real world data
- Precision medicine
- Predictive analytics