Session Title: Increasing efficiency and data quality in clinical trials with Artificial Intelligence
Date: Monday, November 11
Time: 15:30 – 16:15 JST
Abstract: During this session, we’ll explore how artificial intelligence is transforming clinical trials by enhancing data quality, reducing risk for human errors, and safeguarding patient confidentiality through automated data anonymization. We’ll also examine AI-driven advances in imaging and respiratory data, focusing on how AI identifies and analyzes patterns across vast datasets. Through real-world examples, we’ll highlight AI’s impact on efficiency and its potential for reducing risks in the drug development process
Benoit 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.
Complete this form and we will reach out soon to schedule a time to connect at the event.
If you are a company wishing to collaborate with us, please stop by our booth during the conference to talk with our team.