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UID:20260724T050823EDT-5525UEkBMS@132.216.98.100
DTSTAMP:20260724T090823Z
DESCRIPTION:Title: Patient-Specific Finite Element Analysis of Human Heart:
  Mathematical and Statistical Opportunities and Challenges.\n\n\n	Abstract:
 \n\n\nCardiovascular diseases (CVD) are the leading cause of death globall
 y and ranks second in Canada\, costing the Canadian economy over $20 billi
 on every year. Despite the recent progress in CVD through prevention\, lif
 estyle changes\, and the use of biomedical treatments to improve survival 
 rates and quality of life\, there has been a lack in the integration of co
 mputer-aided engineering (CAE) in this field. Clinically\, proposing cut-o
 ff values while taking into consideration patient-specific risk is of para
 mount importance for increased rate ofsurvival and improved quality of lif
 e. Computational modeling has proved to be used in determining parameters 
 that cannot be assessed experimentally. The latest developments in computa
 tional modelling of human heart are presented and the constitutive equatio
 ns\, the key ingredient of these in-silico modellings of human heart\, are
  discussed. Finite Element analysis of cardiac diseases provide a framewor
 k to generate synthetic data for developing statistical models when collec
 ting the real data require invasive procedure. The idea of virtual persona
 lized cardiology will be discussed.\n\n\n	Speaker\n\n\nAlireza Heidari is c
 urrently a Postdoctoral Fellow in the Department of Mathematics and Statis
 tics at McGill University\, working with Professor Masoud Asgharian.\n
DTSTART:20190208T203000Z
DTEND:20190208T213000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Alireza Heidari 
URL:https://www.mcgill.ca/mathstat/channels/event/alireza-heidari-294469
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