Natural Language Processing

The use and analysis of data is at the core of everything we do. It fuels our innovation and provides us with direction to help identify those high-value problems to revolutionize the world of medicine. Due to the unstructured nature of much of our data, our scientists depend on our NLP capabilities to empower them to extract insights from this influx of content.

Over the past decade, deep learning methodologies have revolutionized the way NLP technology can analyze text-based documents to help inform decision making and implement predicative capabilities to provide aggregated insights from a wealth of information. Our data analytics platform integrates and links diverse data sets allowing data liquidity, rapid analytics and insights generation to help develop solutions for the critical challenges facing our patients around the world.

Electronic health records play a critical role in understanding the natural history of disease progression, enhancing our clinical trial enrollment and the construction of external control arms. The challenge we face is much of this information exists in an unstructured and non-standardized format, including clinical notes, disease process reports, immunization records and so on. Through the utilization of NLP, our scientists are able to process and extract critical information from these EHRs to accelerate and focus our development programs.