Cambridge Healthtech Institute’s 3rd Annual
Artificial Intelligence in Clinical Research
Machine Learning and AI to Advance Clinical Operations and Data Management
February 20-21, 2020
Artificial intelligence (AI) and machine learning (ML) have propelled many industries toward a new, highly functional and powerful state. Now they are starting to make their way into the clinical research realm advancing clinical operations, as well as
data management. Many pharmaceutical companies and larger CROs are starting projects involving some elements of AI, ML, and robotic process automation in clinical trials. CHI’s 3rd Annual Artificial Intelligence in Clinical Research conference
is designed to facilitate the discussion and to accelerate the adoption of these approaches in clinical trials.
Arrive early and attend Part 1 (Wed - Thurs): Clinical Data Strategy and Analytics
Clinical Pitfalls in Using AI for Decision Support
Sujay Kakarmath, MD, MS, Lead Scientist, Data Science and Artificial Intelligence, Partners Healthcare Pivot Labs
AI to Advance Clinical Trial Design and Execution
Faisal Khan, PhD, Executive Director, Advanced Analytics and Artificial Intelligence, AstraZeneca
Streamlining Clinical Operations with the Help of AI
Balazs Flink, PhD, Head, Clinical Trial Analytics, R&D Business Insights, Bristol-Myers Squibb Co.
CO-PRESENTATION: Intelligent Machines Take on Clinical Data Management
Prasanna Rao, Head, AI & Data Science, Data Monitoring and Management, Clinical Sciences and Operations, Global Product Development, Pfizer Inc.
Ashley Howard, Manager, Clinical Data Scientist, Pfizer Inc.
Accelerating Clinical Database Set-Up Using Machine Learning & AI
Arun Patnaik, Director, Clinical Data Management, Data Operations, Novartis
AI/ML – Will it Revolutionise Clinical Data Management?
Francis Kendall, Senior Director, Biostatistics & Programming, Cytel