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Session 7: The Future is Now
Session Chair(s)
Rima Izem, PhD
Associate Director Statistical Methodology
Novartis, Switzerland
Pandurang M Kulkarni, PhD
Chief Analytics Officer-R&D / Vice President of Statistics, Data & Analytics
Eli Lilly and Company, United States
Artificial intelligence and machine learning have achieved great successes in many fields such as text mining, image, and voice recognition and are changing our lives. The use of these methods could revolutionize pharma and healthcare. Statisticians are in a great position to provide leadership in this area by (a) ensuring methodologies are fit for purpose, (b) developing reliable training sets, and (c) accounting for variability and uncertainty associated with multiple data sources. In this session, key opinion leaders from industry, academia, and regulatory will share their thoughts and visions, and their journey on using machine learning and artificial intelligence in healthcare industry.
Learning Objective : At the conclusion of this session, participants should be able to:- Describe an overview of machine learning methods
- Identify current applications of machine learning methods in public health
- Discuss potential future uses of machine learning methods in public health
Speaker(s)
The Future is Now. But Where Should We Focus?
Haoda Fu
Eli Lilly and Company, United States
Senior Research Scientist
Speaker
Sherri Rose
Harvard Medical School | Department of Health Care Policy, United States
Associate Professor of Biostatistics
Panelist
Henry "Skip" Francis, MD
FDA/CDER/OTS/IO, United States
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