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X-ORIGINAL-URL:https://www.med.unc.edu/compmed
X-WR-CALDESC:Events for Computational Medicine
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DTSTART:20210314T070000
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DTSTART;TZID=America/New_York:20220317T140000
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CREATED:20220307T163331Z
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UID:10000265-1647525600-1647529200@www.med.unc.edu
SUMMARY:CompMed Seminar
DESCRIPTION:Presenter: David Odde\, PhD \nTalk Title: “Modeling for medicine: Case studies in glioblastoma and Covid-19” \nDavid Odde is the Medtronic Professor of Engineering in Medicine at the University of Minnesota. Trained as a chemical engineer at the University of Minnesota and Rutgers University\, Odde joined the newly created Department of Biomedical Engineering at the University of Minnesota in 1999 where he is a professor and Associate Director for Strategic Research Initiatives in the Institute for Engineering in Medicine. In his research\, Odde’s group builds computer models of cellular and molecular self-assembly and force-generation-dissipation dynamics and tests the models experimentally using digital microscopic imaging of living cells ex vivo and in engineered microenvironments. His group seeks to bring an engineering approach that uses physics-based modeling and analysis to understand\, predict\, and control disease outcomes (oddelab.umn.edu). Dr. Odde is an elected Fellow of the American Institute for Medical and Biological Engineering (AIMBE)\, the Biomedical Engineering Society (BMES)\, the International Academy of Medical and Biological Engineering (IAMBE)\, and the American Association for the Advancement of Science (AAAS) and is the Director of the Physical Sciences in Oncology Center at the University of Minnesota (psoc.umn.edu)\, which is focused on modeling the mechanics of cancer cell migration in biologically relevant contexts.
URL:https://www.med.unc.edu/compmed/event/compmed-seminar/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
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UID:10000313-1647597600-1647601200@www.med.unc.edu
SUMMARY:CompMed Research In Progress
DESCRIPTION:Presenter: Di Wu Lab \nTalk Title: “Novel statistical methods to integrate microbiome sequencing data”
URL:https://www.med.unc.edu/compmed/event/compmed-research-in-progress-21/
LOCATION:NC
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
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