Sanofi automated sections of its clinical study reports with Yseop natural language generation.
Sanofi needed to get drugs to market faster while keeping clinical study reports fully accurate for health authorities. Yseop built a rule-based NLG system that drafts CSR sections alongside medical writers. Two major CSR sections were automated for Phase 1 and 3 studies across 3 therapeutic areas, cutting writing time for those sections by 30%.
Yseop is a French generative AI and natural language generation vendor, used by large pharma to draft clinical study reports, patient narratives and regulatory documents
This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Published by Yseop on its own site — read the original case study on yseop.com ↗
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