21036-webinar-rls-850x200.jpg



Now Available On Demand!

By leveraging deep NLP frameworks and Social Media Data we can generate novel insights along the patient journey. With the SPEC-F impairment framework, we apply structure to unstructured social media narratives and remove noise to generate novel insights from previously uncaptured real-world data. In this webinar, we discuss how multiple functions within Pharma use the same platform, approaches, and insights to power their respective functional activities. We will examine a case study on amplifying the patient voice in a variety of diseases and functional areas across the drug lifecycle. 


Featured Topics:

  • Industry Challenges with RWD
  • Defining “Social Media Epidemiology”
  • How effective NLP supports amplification of the patient voice
  • Explaining the SPEC-F Framework
  • Case Study: Novel Insights From Social Media Epidemiology - Alzheimer’s Disease
Please note that this is an exhibitor sponsored event and is not eligible for CE credit. You do not have to be registered for the conference to register for this event.


Presenters:


 

   Dr. Nardin Farid, Strategy Lead, Real World Patient Analytics, Real Life Sciences


   Stephen Doogan, Outcomes Research Strategy, Real Life Sciences