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AI has the potential to fundamentally change how Medical Information teams work, but only when it is built on trusted data and deployed with the right governance.

In this webinar, we explore how a global pharmaceutical organisation is using AI to accelerate evidence discovery and response development in Medical Information by combining AVAYL’s MedPro AI and workflow layer with trusted, licensed Elsevier biomedical content. The result is faster, more confident answers, without compromising compliance, traceability, or scientific integrity.

Designed for professionals across the pharmaceutical industry, this webinar offers a practical view of how AI can help turn data into action.

AI has the potential to fundamentally change how Medical Information teams work but only when it’s built on trusted data and deployed with the right governance.

In this webinar, you’ll gain insight into:
  • Where AI delivers the most impact in MI workflows
  • How trusted licensed datasets underpin reliable outputs
  • What teams have learned from applying this approach in a real-world setting
Featured Presenters
  • Webinar hosting presenter

    Stefan Sassmann

    Global Medical Information Manager, Recordati
    Stefan Sassmann is a seasoned Medical Information expert with a PhD in Biology and extensive experience in the pharmaceutical industry. At Global Medical Information at Recordati Rare Diseases, he leverages his scientific expertise and passion for...
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  • Webinar hosting presenter

    Simon Desiere

    CFO/COO, AVAYL
    Simon Desiere is CFO/COO at AVAYL, where he also leads partnership efforts for MedPro, AVAYL’s AI-native platform enabling Medical Information teams to deliver evidence-based knowledge faster and more efficiently. He brings an extensive background...
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  • Webinar hosting presenter

    Elliott Parris

    Advanced Data Solutions Manager, EMEA, Elsevier
    Elliott Parris works with life sciences organisations to make AI and automation usable in regulated evidence workflows. At Elsevier, he supports medical device, pharma, and other evidence-led teams in improving search quality, reducing manual...
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