Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn more"We strive to help improve outcomes and create a healthier, more sustainable world for people everywhere.
LEARN MOREReimagine clinical development by intelligently connecting data, technology, and analytics to optimize your trials. The result? Faster decision making and reduced risk so you can deliver life-changing therapies faster.
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LEARN MOREBuilding on a rich history of developing AI for healthcare, IQVIA AI connects the right data, technology, and expertise to address the unique needs of healthcare. It's what we call Healthcare-grade AI.
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SEARCH JOBSThere are many tasks in pharma, from discovery to medical, development to commercialization, that rely heavily on having and using the right data. Finding and extracting the right data, however, is no easy task, and must be done against the backdrop of the ever-increasing volume of data being generated. Add to this, the challenges of document-based or unstructured data, where information is not consistently written or referenced, and meta data is poor or incomplete.
In this webinar, you will hear about how we tackle some of these challenges by applying natural language processing to high value, large scale data sources and making them available to users to find, extract and use the specific information they need. We will share examples of these data sources being used to solve real problems and demonstrate some of the tools we use to instantly access, navigate and start analyzing these data.
Which data sources you can readily get value from with text mining and search
Challenges with specific sources that are commonly experienced by users
The difference between using native search tools and natural language processing.
Enhanced search and visualization tools in action
This webinar is suitable for teams that use and needs better experiences with key data sources such as FDA Drug Labels, ct.gov, Medline, Patents and more. This is relevant for teams in drug discovery, translational science, safety, regulatory affairs, HEOR, medical affairs and MSL leaders and managers.