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: 5 Problems Facing Artificial Intelligence for Health (and what’s being done about them)
Shelley Rusincovitch, MMCi; Managing Director, Duke AI Health Jonathan McCall, MS; Director of Communications, Duke AI Health with Host: Irene Tanner, MS; Duke AI Health Data Science Fellow
Making sense of non-coding genomic intervals
Nathan Sheffield
AI Health Virtual Seminar: Time for AI to do some good DEEDS (Duke Ethical and Equitable Data Science) in Health
Michael J. Pencina, PhD; Vice Dean for Data Science, Professor of Biostatistics & Bioinformatics, Director of Duke AI Health, Duke University School of Medicine
Joint NC BERD Seminar: Prepare and Organize Data for Collaboration
David M. Kline, PhD
Long Read Sequencing Seminar
Oxford Nanopore
