Home Learning & Education Text mining drug labels: Driving efficiency with effective search, compare and extract capabilities

Text mining drug labels: Driving efficiency with effective search, compare and extract capabilities

by WeeklyAINews
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When:

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

Length: 60 minutes


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Regulatory, labeling, medical and security groups can spend a big period of time trying to find the precise labels and label-based data for comparability and evaluation. Having to do that throughout disparate label sources and in a number of languages can pose a big problem. Making use of pure language processing-based options can present customers with entry to the precise label data from devoted sources akin to FDA drug labels, and EMA Drug Labels. This may also help to streamline label creation, generate regulatory intelligence throughout label databases, and perceive competitor merchandise. 

On this webinar, we’ll discuss case research from the FDA and high 10 pharma, and present you IQVIA’s Labeling Intelligence Hub resolution. Be a part of us to listen to extra about this thrilling area.  

What you’ll study 

  • How NLP can allow efficient search over giant regulatory doc databases  
  • Approaches to enhance precision of search to assist groups save time and enhance high quality of research 

Audio system

Jane Reed - Director, Life Science
Jane Reed

Director, Life Science

Hywel Evans, Director, NLP Insights Hub at IQVIA
Hywel Evans

Director, NLP Insights Hub at IQVIA

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