Christine Demeo | Global Business Lead, Translational Safety Intelligence
Clarivate Analytics (UK) Limited
Christine DeMeo is a life sciences professional with more than 25 years of experience helping pharmaceutical and biotechnology organizations leverage data, predictive technologies, and safety intelligence to accelerate drug development, enhance pharmacovigilance workflows, support informed decision-making, and ultimately improve patient safety. Beginning her career as a research scientist, Christine developed a strong scientific foundation that enables her to bridge the gap between complex safety data and real-world research and development challenges across the drug lifecycle. As Global Business Lead for OFF-X, Clarivate's Translational Safety Intelligence platform, she works at the intersection of science, safety intelligence, and AI, helping organizations transform complex data into actionable insights that support the development of safer medicines and better patient outcomes.
Appearances:
Day 1: 14th October @ 11:45
Accelerating Pharmacovigilance with AI: from ICSRs identification and aggregate reporting to signal detection and assessment
With the rapid adoption of AI, driving patient safety with pharmacovigilance in a compliant manner is more attainable than ever, reducing workload and maintaining oversight.
In this session, we’ll explore strategies to manage the ever-growing volume of safety information and how AI can reduce costs and save valuable time for pharmacovigilance teams. Explore how AI research assistants can help with ad-hoc queries for aggregate reporting and the assessment of potential signals within the context of class safety intelligence.
- Leverage AI to drive automation across ICSR identification, E2B (r3) prefilling for case processing, aggregate reporting and safety signal identification.
- Understand how AI-supported target and class-level analysis accelerates signal validation and aggregate reporting while maintaining explainability.
- Strengthen biological assessment and ensure consistency in Safety Evaluation Reports through AI-enabled translational safety intelligence.
- Understand how built-in validation mechanisms ensure AI outputs are accurate, reliable and precise across safety-critical workflows.
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