Challenges
A leading global CRO faced multi-year timelines as it had to sift through millions of literature sources to identify target molecules.
Solutions
Leveraged AI-driven Natural Language Processing and text mining to solve complex biomedical research problems by transforming unstructured text into actionable visual analytics.
Impact
- 30% time savings in selecting the right target molecules.
- 2% total reduction in time required to identify crucial information.