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Harnessing the Power of Artificial Intelligence (AI) in Clinical Research From Knowledge Graphs to Generative AI
Session Chair(s)
Katy Ghantous, PHD, MS
Senior Director, Data Science, Medidata Solutions, United States
This session discusses usage of a variety of artificial intelligence (AI) solutions (knowledge-based expert systems, generative AI, machine learning) across the clinical research lifecycle from drug discovery to patient recruitment, data quality management, and submission. We will go over specific problems that lend themselves to AI and how we go about building scalable solutions with emphasis on explainability, reliability, and validity.
Learning Objective : Discuss the use of generative artificial intelligence (AI) and machine learning in clinical research and measures taken to insure validity and reliability; Describe the role of knowledge graph (KG) in building AI systems.
Speaker(s)
John Overington
Chief Data Officer, Exscientia, United Kingdom
Industry Update
Joe Mullen, PHD, MS
Head of Data Science and Professional Services , SciBite, United Kingdom
Industry Update
Ramona Lynn Walls, PHD
Executive Director of Data Science, Data Collaboration Center, Critical Path Institute, United States
Academic Update
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