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Past Events

8:00am PST, 11:00am EST, 4:00pm GMT, 5:00pm CET

Join this webinar to learn the value of IQVIA Ambulatory EMR - US (AEMR-US) to Identify hard-to-find populations with rare diseases using NLP.

8:00am PST, 11:00am EST, 4:00pm GMT, 5:00pm CET

This webinar will demonstrate the importance of Natural Language Processing (AI-NLP) and key areas where it can add benefit in healthcare.

9:00am PDT, 12:00pm EDT, 4:00pm GMT, 5:00pm CET

Join this webinar to learn about the key areas where NLP can enhance processes across your drug labels organization.

8:00am PDT, 11:00am EDT, 4:00pm BST, 5:00pm CEST

Join this webinar to learn about the key areas where NLP can enhance processes across your payer organization – not just for one solution.

8:00am PDT, 11:00am EDT, 4:00pm BST, 5:00pm CEST

This webinar will present an overview of customer success stories, to show best practice use of this Artificial Intelligence (AI) technology to advance drug safety.

10:00am PDT, 1:00pm EDT, 6:00pm BST, 7:00pm CEST

This webinar demonstrates Artificial Intelligence-Natural Language Processing (AI-NLP) and advanced clinical analytics. We will also show how NLP can enhance advanced machine learning models. Use cases include precision medicine & clinical research.

8:00am PDT, 11:00am EDT, 4:00pm BST, 5:00pm CEST

In this webinar you will learn about which data sources we have indexed for text mining and search, their scale and complexity, as well as challenges with specific sources that are commonly experienced by users.

8:00am PDT, 11:00am EDT, 4:00pm BST, 5:00pm CEST

This webinar demonstrates some uses of NLP across clinical trial reports and protocols, and will be of interest to anyone who wants to understand more about the power of NLP to gain more value from unstructured text within clinical development.

8:00am PDT, 11:00am EDT, 4:00pm BST, 5:00pm CEST

With 80% of the relevant data being unstructured, the time spent trying to surface features from these complex data is significant. IQVIA’s suite of NLP APIs provides instant access to secure healthcare-tuned NLP

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