Conference Agenda

8:30am - 8:42am
ID: 181 / 4.2: 1

COUPLING BAYESIAN INFERENCE AND SENSITIVITY ANALYSIS FOR IN-SILICO THERAPY GUIDANCE OF HYPOTENSION DURING SURGERY

J.-N. Thiel¹, M. Zlicar², U. Steinseifer¹, B. Kirn³, M. Neidlin¹

1: Cardiovascular Engineering, Applied Medical Engineering, Medical Faculty, RWTH Aachen University, Aachen, Germany; 2: Clinical Department of Anaesthesiology and Intensive Therapy, University Medical Centre Ljubljana, Ljubljana, Slovenia; 3: Institute of Physiology, Medical Faculty, University of Ljubljana, Ljubljana, Slovenia

8:42am - 8:54am
ID: 293 / 4.2: 2

REDUCED ORDER MODELS FOR REAL-TIME PATIENT-SPECIFIC CARDIOVASCULAR SIMULATIONS VIA WEB-SERVER

G. Rozza

SISSA, Italy

8:54am - 9:06am
ID: 318 / 4.2: 3

EVALUATION OF A DIGITAL TWIN FOR REAL-TIME CARDIAC CONTRACTILITY ESTIMATION USING SYNTHETIC AND IN VIVO DATA

S. Snijders^1,2, M. Rutten¹, J. Sels^3,4, P. Tonino^1,5, W. Huberts^1,6

1: Eindhoven University of Technology, The Netherlands; 2: Laurentius Hospital, The Netherlands; 3: Maastricht UMC+, The Netherlands; 4: CARIM Cardiovascular Research Institute Maastricht, The Netherlands; 5: Catharina Hospital, The Netherlands; 6: University of Amsterdam, The Netherlands

9:06am - 9:18am
ID: 336 / 4.2: 4

INVESTIGATING THE TRANSLATION GAP TO UNLOCK THE POTENTIAL OF DIGITAL TWINS IN HEALTHCARE

S. Bridio¹, G. Luraghi², J. F. Rodriguez Matas², G. Dubini², F. Migliavacca^2,3, M. Whelan¹

1: European Commission - Joint Research Centre (JRC), Ispra, Italy; 2: Department of Chemistry, Materials and Chemical Engineering “Giulio Natta”, Politecnico di Milano, Italy; 3: Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy

9:18am - 9:30am
ID: 340 / 4.2: 5

AN INTEGRATED DECISION SUPPORT SYSTEM FOR HYPERTROPHIC CARDIOMYOPATHY DISEASE MANAGEMENT

N. Faiem, A. Kallonen, M. van Gils

Tampere University, Finland

9:30am - 9:42am
ID: 561 / 4.2: 6

DIGITAL TWIN INTEGRATING MULTISCALE DATA AND MODELS FOR STRATIFICATION OF HYPERTROPIC CARDIOMYOPATHY

J. Hyttinen¹, K. Aalto-Setälä¹, A. Afantitis¹¹, F. Agakov², A. Oravio Bueno³, T. Crist⁵, K. Curran⁴, V. Le Rolle⁶, L. Mainardi⁷, S. Severi⁹, i. Olivetto⁸, M. van Gils¹, M. von Tottleben¹⁰

1: Tampere University, Finland; 2: Pharmatics Ltd; 3: University of Oxford; 4: University College Dublin; 5: University Klinikum Eppendorf; 6: University of Rennes; 7: Politecnico di Milan; 8: University of Florence; 9: University of Bologna; 10: Empirica Ltd; 11: NovoMechnaics Ltd

9:42am - 9:54am
ID: 624 / 4.2: 7

CAN MAKING CARDIOVASCULAR SYSTEM MODELS EASY TO CALIBRATE BRIDGE THE GAP TO THE INTENSIVE CARE UNIT?

F. Argus¹, B. Ghitti¹, M. Shafieizadegan¹, A. Sharifzadeh-Kermani¹, M. Gee², S. Creamer¹, B. Ebrahimi¹, E. Guy⁴, J. Fisher³, J. G. Chase⁴, M. Tawhai¹, G. Maso Talou¹

1: Auckland Bioengineering Institute, University of Auckland, NZL; 2: University of Delaware, USA; 3: FMHS, University of Auckland, NZL; 4: Department of Mechanical Engineering, University of Canterbury, NZL

9:54am - 10:06am
ID: 372 / 4.2: 8

TOWARDS REAL-TIME TAVR DIGITAL TWINS: 2D NAVIER-STOKES PINN IN STENOTIC FLOWS AND CORONARY ASSESSMENT

J. Gosselin¹, R. Leask¹, R. Cecere¹, F. Couët², S. Lalancette², R. Mongrain¹

1: McGill University, Canada; 2: Haemonectics Quebec, Canada

10:06am - 10:09am
ID: 556 / 4.2: 9

AN OPTIMIZATION FRAMEWORK FOR DESIGNING MECHANICALLY INFORMATIVE SOFT TISSUE EXPERIMENTS

U. Manack^1,2, B. Alheit¹, N. Famaey², M. Peirlinck¹

1: Delft University of Technology; 2: KU Leuven

10:09am - 10:12am
ID: 277 / 4.2: 10

SINO-ATRIAL NODE MODEL FOR INFERRING AUTONOMIC ACTIVITY FROM HEART RATE VARIABILITY

C. Dong, G. Talou, K. Tran, F. Argus

University of Auckland, New Zealand

10:12am - 10:15am
ID: 430 / 4.2: 11

A COMPARATIVE INVESTIGATION ON DIFFERENT SOLUTIONS OF 1D MODEL OF BLOOD FLOW

E. Vaezi¹, J. Hernández², E. Soudah^1,2

1: International Center for Numerical Methods in Engineering(CIMNE), Barcelona, Spain; 2: Universitat Politècnica de Catalunya (UPC), Barcelona, Spain

10:15am - 10:18am
ID: 439 / 4.2: 12

PREDICTING POST-TEER HEMODYNAMICS IN MITRAL REGURGITATION USING PATIENT-SPECIFIC MODELLING

J. Franz^1,2, F. Barbieri^2,3, V. Exarchos^2,3, K. Vellguth^1,2, J. Brüning^1,2, A. Borzistaia^1,2, M. Reinthaler^2,3, T. Kühne^1,2, L. Goubergrits^1,2

1: Deutsches Herzzentrum der Charité, Institute of Computer-assisted Cardiovascular Medicine, Berlin, Germany; 2: Charité - Universitätsmedizin Berlin, Berlin, Germany; 3: Deutsches Herzzentrum der Charité, Department of Cardiology, Angiology and Intensive Care Medicine, Berlin, Germany

10:18am - 10:21am
ID: 472 / 4.2: 13

INFLUENCE OF AORTIC ARCH MORPHOLOGY ON CARDIOGENIC EMBOLIC STROKE RISK: A CFD-BASED FRAMEWORK

C. Bettinelli¹, I. Ianniruberto¹, F. Morelli^1,2, Y. Tatari³, A. Arzani³, D. Mazzaccaro^2,4, E. Votta¹, F. Sturla^2,1

1: Politecnico di Milano, Milano, Italy; 2: IRCCS Policlinico San Donato, San Donato Milanese, Italy; 3: University of Utah, Salt Lake City, USA; 4: Università degli Studi di Milano, Milano, Italy

10:21am - 10:24am
ID: 524 / 4.2: 14

SEMI-AUTOMATED GENERATION OF SURGICAL BAFFLE GEOMETRY FOR BIVENTRICULAR REPAIR

E. S. Martinez, A. D. Kaiser, A. K. Reed, S. W. Stocker, A. Sharir, P. S. Choi, S. A. Maskatia, M. R. Ma, A. L. Marsden

Stanford University, United States of America

10:24am - 10:27am
ID: 551 / 4.2: 15

MACHINE LEARNING SURROGATE MODEL FOR HIPSC CARDIOMYOCYTE ELECTROMECHANICS

O. Ylinen, O. Noita, A. Ahola, J. Koivumäki, J. Hyttinen

Tampere University, Finland

10:27am - 10:30am
ID: 560 / 4.2: 16

AI-DRIVEN HEART FAILURE RISK PREDICTION FROM ECG VERSUS TRADITIONAL CLINICAL RISK MEASURES: WHICH PERFORMS BETTER?

X. An^1,2, W. Sun⁵, S. V Kalmady⁵, J. A White⁶, A. J Swift^1,2,3,4, R. Greiner^5,7, P. Kaul⁵, C. Chen^1,2

1: University of Sheffield, United Kingdom; 2: Insigneo Institute, United Kingdom; 3: Sheffield Teaching Hospitals, United Kingdom; 4: National Institute for Health and Care Research, United Kingdom; 5: University of Alberta, Canada; 6: University of Calgary, Canada; 7: Alberta Machine Intelligence Institute, Canada