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Open to all! In Honor of #MedComms Day: Read by Humans. Ranked by Machines. How Medical Communications Can Stay Discoverable, Accurate and Trusted in the AI Era
Wednesday June 24, 2026 11:00am - 12:30pm EDT
Online
Video Stream


Your content will be read twice. Once by the clinician, researcher, or patient you wrote it for. And once, increasingly first, by the AI system that decides whether to surface it, summarize it, or pass it over entirely.

Large language models and AI-powered platforms are becoming a new access layer between scientific evidence and the people who need it. Whether a physician in São Paulo, a patient in Tokyo, or a medical affairs professional in London, the answer they receive to a clinical query may no longer come from a journal, congress, doctor or an MSL. The quality of your science no longer guarantees its visibility. The structure, metadata, format, and licensing context of your content now shape whether AI systems find it, rank it, trust it, and represent it accurately — in any language, in any region.

Developed from sessions presented at ISMPP-EU 2026 and the ISMPP Annual Meeting 2026, this global ISMPP U headline webinar will explain how AI systems find and use scientific content; demonstrate the content architecture choices that determine whether evidence is retrieved accurately or overlooked; and gives the global Med Comms community a practical, honest, and globally relevant framework for making scientific content discoverable, accurate, and trusted in the LLM era. Attendees leave with immediately actionable strategies and a whole new way of thinking about the content they create.


This webinar will enable participants to:
  • Describe how the discovery and consumption of scientific evidence is changing and explain how large language models and AI-powered answer engines source, rank, summarize, and contextualize medical communications content.
  • Apply a practical content framework to strengthen the discoverability, accuracy, and trustworthiness of scientific/medical communications content — across formats, platforms, languages, and regions, giving good science the best possible chance of being retrieved, correctly interpreted, and ranked by AI systems.
  • Navigate the global AI governance landscape, including the EU AI Act, the European Commission's May 2026 Living Guidelines on Generative AI in Research, and other regulations across the US, UK, Asia, and beyond — and translate these into transparent, accountable, and compliant AI practices within everyday medical communications workflows.

Approved for 1.0 CMPP credit


Register today at https://www.pathlms.com/ismpp/courses/221796 
*All attendees are required to register beforehand. This online session is open to all who register. 
Speakers
avatar for Enda Millar

Enda Millar

SVP, Publications Transformation & Strategy, Omnicom Health Medical Communications
With 15 years’ experience in medical communications, Enda has supported Global, US and Regional clients in strategic publications planning and delivery, whilst also looking at how we can elevate agency publications operations and capabilities. He is passionate about exploring emerging... Read More →
avatar for Rayman Vaid

Rayman Vaid

VP, Senior Director, Digital Technology, Omnicom Health Medical Communications
With over 22 years in the digital technology landscape, Rayman Vaid an adept leader with a penchant for charting and navigating the complexities of omnichannel solutions, especially within the healthcare sector. His journey has encompassed roles that demand end-to-end oversight of... Read More →
avatar for Stephen Griffiths

Stephen Griffiths

Head of Publications, General Medicine and Specialty Care, GSK
Stephen is a scientific communications specialist with over 20 years combined biotech, pharma and agency experience at regional and global levels. Currently at GSK he heads a team of publications professionals supporting a range of assets across General Medicine and Specialty Care... Read More →
Wednesday June 24, 2026 11:00am - 12:30pm EDT
Online
  ISMPP Hosted Events

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