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Case Studies on AI-Enabled and Analytical Practices and Solutions Reducing Site and Participant Burden in Clinical Trials
Session Chair(s)
Abigail Dirks, MS
Senior Data Scientist
Tufts Center for the Study of Drug Development, United States
In this session, sponsor companies present use cases on strategies and solutions deployed (e.g., digitized protocols and AI-enabled tool) to simplify protocol design and reduce participant and site burden.
Learning Objective : Discuss case examples profiling solutions and practices that sponsors have implemented to measure and reduce participant and site burden in clinical trials; Identify key factors driving burden in clinical trials; Describe approaches and experience with digitized protocol designs and AI-enabled protocol planning and design solutions.
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