BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20190118T094334Z
DTSTART:20190211T140000Z
DTEND:20190211T150000Z
SUMMARY:Statistical inference in soft-tissue mechanics and fluid dynamics
  with an application to prognostication of myocardial infarction and pul
 monary hypertension
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}im9-jqy01lj
 z-43w7hn
DESCRIPTION:Join us for this seminar\, which is part of the Mathematics i
 n Life Science seminar series.\n\nA central problem in biomechanical stu
 dies of personalized human left ventricular (LV) modelling is estimating
  the material properties from in-vivo clinical MRI measurements in a tim
 e frame suitable for use in the clinic. Understanding these properties c
 an provide insight into heart function or dysfunction and help inform pe
 rsonalised treatment. However\, finding a solution to the differential e
 quations which describe the myocardium through numerical integration can
  be computationally expensive. To circumvent this issue\, we use the con
 cept of statistical emulation to infer the myocardium properties of a he
 althy volunteer in a viable clinical time frame using in-vivo LV data. E
 mulation methods avoid computationally expensive simulations from the LV
  model by replacing it with a surrogate model inferred from simulations 
 generated before the arrival of a patient\, vastly improving efficiency 
 at the clinic. I will compare and contrast various emulation strategies\
 , discuss uncertainty quantification and (it time permits) discuss an ex
 tension of this framework to fluid dynamics in the pulmonary blood circu
 lation system for prognostication of pulmonary hypertension.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:2.61\, Simon Building\, Manchester
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END:VCALENDAR