The Applied Biostatistics Seminar Series consists of a series of talks with the primary purpose of furthering statistical knowledge on an applied level.
Talks will focus on advances in biostatistical methods and statistical programming techniques and their translation into addressing biomedical research questions. The seminars are open to all members of the Duke community, but primarily geared toward applied statistical researchers.
AI Health Virtual Seminar Series: Introduction to Basic Concepts in Machine Learning
Ricardo Henao, PhD Associate Professor of Biostatistics & Bioinformatics Director of Clinical Trials AI, Duke Clinical Research Institute
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Applications of Deep Learning in Healthcare
Ricardo Henao
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How generative AI enables biomedical innovations
Dr. James Zou
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Dissertation Announcement: Kevin Moyung
Kevin Moyung
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Facilitating Harmonization of Variables from the Framingham, MESA, ARIC, and REGARDS Studies Through a Metadata Repository
Presented by: • Pratheek Mallya, MS; Product Development Manager, Data Science; American Heart Association • Chuan Hong, PhD; Assistant Professor of Biostatistics & Bioinformatics, Duke University School of Medicine Moderated by: • Andrew Olson, MPP, Associate Director, Policy Strategy and Solutions for Health Data Science
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Ushering in the Algorithmic Century: Duke’s Pathfinding Leadership in Ensuring that Health AI Is Safe, Effective & Equitable for All
Dr. Michael Pencina, Vice Dean for Data Science, Chief Data Scientist for Duke Health, and Director of Duke AI Health
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Machine Learning for Precise Diagnostics and Therapeutics
Rohit Singh, Assistant Professor of Biostatistics & Bioinformatics with host Aditya Parekh
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