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Artificial Intelligence: Robots Taking Over Clinical Research
Session Chair(s)
Greg Jones
Vice President, eClinical Enterprise Strategy
Oracle Health Sciences, United States
Machine learning and artificial intelligence is a rapidly expanding field in many industries. The question is, are we ready for artificial intelligence in clinical trials? Are we ready to let machines and AI make decisions for our clinical trial space including: our research - which compounds to move forward, our portfolio- which protocols to run, our operations - which risk management actions to take? This session will include a quick introduction to the basic concepts of machine learning and artificial intelligence will be followed by highlighting emerging areas in clinical trials that can leverage machine learning and artificial intelligence, and how use of this intelligence can affect trial planning, oversight and execution.
Learning Objective : Discuss how the world of machine learning and artificial intelligence is affecting clinical trials; Describe how artificial intelligence can affect regulatory and oversight processes in clinical trials.
Speaker(s)
Are You Ready for Artificial Intelligence in your Clinical Trial?
Greg Jones
Oracle Health Sciences, United States
Vice President, eClinical Enterprise Strategy
Passive In-Home Patient Monitoring: The Role of AI and Contactless Sensors
Dina Katabi, PhD, MS
Massachusetts Institute of Technology (MIT), United States
Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science
The High ROI of Using Artificial Intelligence for Clinical Trials Recruitment
Wout Brusselaers, MA
Deep 6 AI, United States
CEO
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