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Natural Language Processing

Today, 80 percent of the world’s data is unstructured. Our deep expertise in Natural Language Processing empowers our scientists to make use of data and insights extracted from this wealth of data.

Natural Language Processing

The utilization and analysis of data is at the core of everything we do. It fuels our innovation and provides us direction to 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 Natural Language Processing (NLP) capabilities to empower them to extract insights from this influx of content. By leveraging this ever increasing volume of data, we are able to bring about a step-change in how we discover, develop and bring medicines to patients most in need.

Over the past decade, representation and 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 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 report, immunization records, and so on. Through the utilization of Natural Language Processing, our scientists are able to process and extract critical information from these EHRs to accelerate and focus our development programs.