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Bethesda North Marriott Hotel and Conference Center

2018年4月23日 (月) 午後 1:00 - 2018年4月25日 (水) 午後 4:15

5701 Marinelli Road, , North Bethesda, MD 20852 , USA

DIA/FDA Biostatistics Industry and Regulator Forum

Session 7: The Future is Now

Session Chair(s)

Rima  Izem, PhD

Rima Izem, PhD

Associate Director Statistical Methodology

Novartis, Switzerland

Pandurang M Kulkarni, PhD

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)

Haoda  Fu

The Future is Now. But Where Should We Focus?

Haoda Fu

Eli Lilly and Company, United States

Senior Research Scientist

Sherri  Rose

Speaker

Sherri Rose

Harvard Medical School | Department of Health Care Policy, United States

Associate Professor of Biostatistics

Henry "Skip" Francis, MD

Panelist

Henry "Skip" Francis, MD

FDA/CDER/OTS/IO, United States

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