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Plenary Session I (Chair, D. Alemayehu, Pfizer Inc)

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October 30, 2020 @ 10:00 am - 11:00 am

ML and AI in Clinical Development and Statistical Innovation.

Wang Li, AbbVie

Abstract
ML and AI are widely used in technology industry now and are finding their ways into drug development in pharmaceutical industry especially in manufacturing and discovery. In clinical development, how and where to appropriately apply ML/AI and what value it can bring to the business remain big questions without clear answers to researchers. For traditional clinical statisticians, it is not only a big challenge but also an exciting opportunity. AbbVie’s statistical innovation group is revamped with the new vision and focus on Digital, RWD, ML and Bayesian methodologies. We are closely collaborating with different Development functions to leverage multiple data sources to help make smarter decisions. Experiences and some use cases will be shared.

Opportunities for AI in Healthcare.”

Lawrence Carin, Duke University

Abstract
Early progress is being demonstrated on how machine learning (ML) and artificial intelligence (AI) can impact analysis of data connected to health, with both basic and clinical applications. Areas of particular focus have been in deep learning for image analysis, natural language processing, and analysis of tabular data. There have also been advances in analysis of time-dependent data. In this talk we will review progress and directions in these areas.

Details

Date:
October 30, 2020
Time:
10:00 am - 11:00 am

Venue

Northwest Corner Building
Joseph D. Jamail Lecture Hall, Pulitzer Hall, Columbia University, 2950 Broadway
New York, 10027 United States
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