Resources
Insights, whitepapers, and articles on AI-powered pharmacovigilance
Featured
Extraction Accuracy Data
91–96% field-level accuracy across heterogeneous ICSR sources. Cyntropic's Phase 1 evaluation tested 44 cases and 450 field-level extractions across MedWatch/CIOMS forms, long-form medical narratives, published literature, and handwritten/scanned PDFs.
Pharmacovigilance Proofs of Concept (PoC) and FDA-EMA Regulatory Guiding Principles
As of early 2026, the regulatory landscape for AI in pharmacovigilance (PV) has shifted from theoretical discussion to a harmonized 'how-to' framework. Regulators are explicitly encouraging pilots, provided they are cordoned off from final regulatory decision-making without oversight.
Latest Articles
From Pilot to Production: Navigating AI in Pharmacovigilance Without Breaking Compliance
The promise of AI in pharmacovigilance is hard to ignore. But what happens after the demo ends? The gap between AI pilots and compliant production deployments isn't a technology problem — it's an architecture problem.