Pharma has a big text problem, including lots of useful information buried in unstructured data formats. Natural language understanding (NLU) can help turn what was once unusable data into meaningful insights that can be applied to the clinical trial development continuum.
NLU engines also open up the possibility for clinical teams to have a more interactive relationship with their vast data stores, using speech or chat messaging in a conversational experience.
Join this webinar to see how natural language understanding can be used to solve a variety of problems associated with clinical trials, including:
- Tracking adverse events
- Matching patients
- Uncovering hidden associations among physiology, therapies, and clinical outcomes