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.
CANCELED: Data Analysis for 10x Visium Spatial Transcriptomics Data: Workshop 2
Mengyi (Miko) Li
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Precision Medicine Program Forum Series: "Regulating Artificial Intelligence and Machine Learning"
Christina Silcox, PhD
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CANCELED: Data Analysis for 10x Visium Spatial Transcriptomics Data: Workshop 1
Mengyi (Miko) Liu,
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AI Health Spark Seminar Series: Neuroimage Analysis in Autism: from Model-Based Estimation to Data-driven Learning
James S. Duncan, Ph.D., Ebenezer K. Hunt Professor and Department Chair of Biomedical Engineering, Professor of Radiology & Biomedical Imaging, Professor of Electrical Engineering, Professor of Statistics & Data Science; Yale University, New Haven, CT with host Maciej Mazurowski, PhD; Associate Professor in Radiology, Duke University
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Using CRISPR to Identify Genomic Regions That Control Gene Expression
Andrew Allen, PhD
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Joint NC BERD Seminar: Biostatistics: Analysis of a continuous outcome
Dr. Heather M. Shappell
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AI Health Virtual Seminar: What are machine learning and artificial intelligence, and why do they matter in health?
Matthew Engelhard, MD, PhD; Assistant Professor of Biostatistics and Bioinformatics Shelley Rusincovitch, MMCi; Managing Director, Duke AI Health
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Using computational multiomics to inform cardiovascular disease, cancer and autoimmunity
Kelly Ruggles, PhD
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2nd Annual Scientific Retreat
Rick Myers & Amy Sturm
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