Social media listening (SML) has the potential to help many facets of drug development in the quest for patient-centric therapies that are fit for purpose. To fulfill this potential, however, it requires the leveraging of quantitative approaches and analytical methods that draw from developments in artificial intelligence (AI) technologies such as natural language processing (NLP) and real-world data (RWD) analysis applied to the real-world text (RWT) of social media. These approaches fall under the umbrella of quantitative SML (QSML), which distinguishes itself from the qualitative methods that have been commonly used in the past.

In this presentation, experts will describe what QSML is, why it is used and how it can support drug development, as well as key ethical and legal considerations. Experts will also discuss the use of NLP technologies to glean insights from social media for a range of topics including outcomes, digital opinion leader, and disease surveillance.

Attendees will learn about:

• What NLP is and how it can be used to get deeper value from social media AI and NLP use for insights and trends from SML
• How to use social media for patient voice to inform clinical trial design and decision making
• The benefits and potential of Quantitative Social Media Listening (QSML)

Speakers:

Raul Rodriguez-Esteban
Senior Principal Scientist at Roche Pharmaceutical

Jane Reed
Director of NLP at IQVIA