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<p>Dear all,</p>
<p>On Thursday (7 February) at 2pm in <span class="event-where">54
/ 7035 (7B), we have an S3RI seminar from Dirk Husmeier
(University of Glasgow) on </span><span class="event-where"><span
class="event-description">"</span></span><span
class="event-description">Statistical inference in soft-tissue
mechanics and haemodynamics with an application to
prognostication of myocardial infarction and pulmonary
hypertension</span><span class="event-where"><span
class="event-description"><span class="event-description"></span>".
Details are given below.<br>
</span></span></p>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description">The seminar will also be
available via a live web-cast at</span></span></span></span><br>
<a class="moz-txt-link-freetext" href="https://coursecast.soton.ac.uk/Panopto/Pages/Viewer.aspx?id=f77021fe-662c-427c-9c7a-a9ea0088932a">https://coursecast.soton.ac.uk/Panopto/Pages/Viewer.aspx?id=f77021fe-662c-427c-9c7a-a9ea0088932a</a></p>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description">The talk will be followed by tea
and cake in the staff reading room on level 4 of building
54. </span></span></span></span></p>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description">All are welcome!</span></span></span></span></p>
<p><span class="event-where"><span class="event-description"><span>Best
wishes,</span></span></span></p>
<p><span class="event-where"><span class="event-description"><span>Helen</span></span></span></p>
<p><span class="event-details-label"></span><span
class="event-description">Statistical inference in soft-tissue
mechanics and haemodynamics with an application to
prognostication of myocardial infarction and pulmonary
hypertension <br>
</span></p>
<p><span class="event-description">Dirk Husmeier, University of
Glasgow <br>
</span></p>
<p><span class="event-description">A central problem in
biomechanical studies of personalised human left ventricular
(LV) modelling is estimating the material properties from
in-vivo clinical MRI measurements in a time frame suitable for
use in the clinic. Understanding these properties can provide
insight into heart function or dysfunction and help inform
personalised treatment. However, finding a solution to the
differential equations which describe the myocardium through
numerical integration can be computationally expensive. To
circumvent this issue, we use the concept of statistical
emulation to infer the myocardium properties of a healthy
volunteer in a viable clinical time frame using in-vivo MRI
data. Emulation 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 (if time permits) discuss an
extension of this framework to fluid dynamics in the pulmonary
blood circulation system for prognostication of pulmonary
hypertension.</span></p>
<br>
<span class="event-where"><span class="event-description"><span><span
class="event-description"><span> <span
class="event-description"> </span><span
class="event-description"><span
class="event-description">For the current schedule of
S3RI seminars, see <a class="moz-txt-link-freetext"
href="https://tinyurl.com/s3riseminar">https://tinyurl.com/s3riseminar</a>
</span></span></span></span></span></span></span>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description"></span></span></span></span></p>
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