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SUMMARY:Learning between digital twins - Ingelin Steinsland (Norwegian Uni
 versity of Science and Technology)
DTSTART:20190607T093000Z
DTEND:20190607T100000Z
UID:TALK125710@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:This   work is motivated by\, and is part of\, a project that 
 aim to develop digital   twins for essential hypertension management and t
 reatment through physically   based computer models\,&nbsp\; new sensor da
 ta   and traditional population based data. Our approach is that the indiv
 idual   digital twins should learn from each other. We explore doing this 
 by   combining Bayesian model calibration and mixed models for simplified 
 models.   This is work in progress.
LOCATION:Seminar Room 1\, Newton Institute
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