Session title: AI in Risk Based (Quality) Monitoring
Date: Wednesday, October 2
Time: 9:30 – 10:00 CET
Stream: Clinical Trials Technology & Innovation
Abstract:
Regulatory bodies are promoting Risk Based (Quality) Monitoring as a best practice in clinical trials to correct data quality issues as early as possible in the trial lifecycle. Since this involves the identification of specific patterns in large datasets, artificial intelligence can support us in doing this efficiently.
Benoit Cuyvers is the Upstream AI (Artificial Intelligence) Product Manager for Clario, recently joining the team from the ArtiQ acquisition. (Leuven, Belgium). The acquisition advances our respiratory solutions portfolio, combining Clario’s deep scientific expertise with ArtiQ’s innovative artificial intelligence capabilities. Benoit led the efforts on the ArtiQ AI-enabled Risk Based Monitoring system, from concept to solution and will continue these endeavors in his role at Clario. With his background in Bioscience Engineering and his past experience as a digital health expert at Siemens, Benoit is able to apply learnings from other medical and technical fields to the field of AI in respiratory research & medicine.
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