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The Adoption of Artificial Intelligence and Machine Learning in Clinical Research
Session Chair(s)
Mary Jo Lamberti, PhD, MA
Director of Sponsored Research, Research Associate Professor
Tufts Center for the Study of Drug Development, United States
Tufts CSDD and DIA collaborated on a research study with a working group of 16 biopharmaceutical companies and CROs examining the current use of artificial intelligence (AI) and machine learning (ML) to support clinical research.
Learning Objective : Gain insight into the level of adoption of artificial intelligence (AI) and machine learning (ML) across biopharmaceutical companies and contract research organizations and the top activities where AI/ML is being implemented and utilized; Understand the impact of AI/ ML on time savings, investment, and deployment of organizational resources.
Speaker(s)
Use Case Examples within Clinical Development
Emily Carter, MBA
AbbVie, United States
Director, Data Science & Analytics
Organizational Use Case
Amanda Donovan
Takeda, United States
Director, Emerging Priorities & Innovation
Mukul Virmani, MS
Gilead, United States
Director, Clinical Data Science, AI Research Center
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