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Next Generation Patient Recruitment: Part 1 of 2
Session Chair(s)
Bill Byrom, PHD
Vice President, Product Intelligence and Positioning; Principal, eCOA Science
Signant Health , United Kingdom
This session explores how we might leverage artificial intelligence (AI) approaches to assist patient recruitment. We will provide a conceptual overview of key AI methodologies including machine learning, natural language processing and network mapping, and explore how these operate in the context of structured and unstructured data such as the data found in electronic health records. We will review case studies to illustrate AI in action in aiding patient matching and selection for clinical trials, including recent experience using IBM Explorys. We will conclude with an interactive panel discussion.
Learning Objective : Describe how new techniques for formulation and product manufacturing will modernize the delivery of products to patients.
Speaker(s)
AI and Technology Disruptions in Clinical Operations and Patient Recruitment
Manish Khatri
Novartis, Switzerland
Director, Scientific Lead - data42, Global Drug Development
Can Artificial Intelligence Transform Patient Recruitment?
Wout Brusselaers, MA
Deep 6 AI, United States
CEO
Next Generation Patient Recruitment: Clinical Trial Matching
Gretchen Goller, MA
Pfizer, United States
Head, Recruitment and Retention