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Uyên Châu Nguyên wins UM Dissertation Prize 2025

Uyên Châu Nguyên wins UM Dissertation Prize 2025

29 January 2026

During the Dies Natalis of Maastricht University, Uyên Châu Nguyên received the UM Dissertation Prize 2025.

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Global research network launched to study menopause and heart health

Global research network launched to study menopause and heart health

20 January 2026

Ten international health research funders, including the Dutch Heart Foundation, are investing $10 million in a new global research network to improve early prevention of cardiovascular disease in women. The initiative focuses on understanding how menopause affects heart health and how early intervention can reduce risk.

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Carim Maastricht
Carim Maastricht

Tammo Delhaas

Professor

Tammo Delhaas is Pediatric Cardiologist and Professor of Biomedical Engineering. He obtained his MD at the University of Groningen and received his PhD degree from Maastricht University in 1993 for a thesis on cardiac mechanics. After his training in Pediatrics in Maastricht and Utrecht, he received a Fulbright grant/ICIN-Fellowship and spent one year at the Departments of Bioengineering and Medicine from the UCSD. Thereafter, he trained in Pediatric Cardiology in Aachen and Melbourne. In 2000, he returned to Maastricht as Pediatric Cardiologist and continued his research on the crossroads of (Pediatric) Cardiology, Physiology and Biomedical Engineering. In 2009, he was appointed Professor and Chair of Biomedical Engineering at Maastricht University, where he is involved in projects related to cellular and cardiac mechanics, cardiac pacing, and mathematical modeling of the heart and circulation.

Prof. Tammo Delhaas is heading the CardioVascular System Dynamics Research Group (CVSDRG). With clinical questions regarding (congenital) heart diseases in mind, his research focusses on asynchronous electrical activation, vascular and myocardial structure-function relation, and computer model-assisted diagnosis and treatment of cardiac failure, pulmonary hypertension and congenital heart diseases. Besides standard expertise, CVSDRG uses following techniques/models in which it has expertise of extraordinary quality according to international standards: 1) CircAdapt, a lumped parameter mathematical model of the human heart and circulation that enables real-time simulation of cardiovascular system dynamics in a wide variety of physiological and pathophysiological situations (www.circadapt.org); 2) Finite Element Model of the heart with left and right ventricle, simulating local stress and strain as a function of time with emphasis on adaptation of wall anatomy to local mechanical load; 3) Pulse Wave Propagation and Computational Fluid Dynamics models that predict pressure and flow waveforms after vascular interventions, such as Arterio-Venous Fistula creation for hemodialysis. Prof. Tammo Delhaas serves as a reviewer or member of the editorial board of many journals, and has received grants from, amongst others, the Dutch Heart Foundation, Maastricht UMC+, Province of Limburg, NWO, European Research Council, and the Interuniversity Cardiology Institute of the Netherlands (ICIN).

Tammo-delhaas

Department of Biomedical Engineering
Universiteitssingel 50, 6229 ER Maastricht
PO Box 616, 6200 MD Maastricht
Room number: 3.366
T:+31(0)43 388 16 67

  • 2018
    • Heinen, S. G., de Boer, S. W., van den Heuvel, D. A., Huberts, W., Dekker, P., van de Vosse, F. N., Delhaas, T., & de Vries, J.-P. (2018). Hemodynamic significance assessment of equivocal iliac artery stenoses by comparing duplex ultrasonography with intra-arterial pressure measurements. Journal of Cardiovascular Surgery, 59(1), 37-44. https://doi.org/10.23736/S0021-9509.17.10186-2
    • Heusinkveld, M. H. G., Quicken, S., Holtackers, R. J., Huberts, W., Reesink, K. D., Delhaas, T., & Spronck, B. (2018). Uncertainty quantification and sensitivity analysis of an arterial wall mechanics model for evaluation of vascular drug therapies. Biomechanics and modeling in mechanobiology, 17(1), 55-69. https://doi.org/10.1007/s10237-017-0944-0
    • van der Ster, B. J. P., Bennis, F. C., Delhaas, T., Westerhof, B. E., Stok, W. J., & van Lieshout, J. J. (2018). Support Vector Machine Based Monitoring of Cardio-Cerebrovascular Reserve during Simulated Hemorrhage. Frontiers in physiology, 8(JAN), Article 1057. https://doi.org/10.3389/fphys.2017.01057
    • Huberts, W., Heinen, S. G. H., Zonnebeld, N., van den Heuvel, D. A. F., de Vries, J.-P. P. M., Tordoir, J. H. M., Hose, D. R., Delhaas, T., & van de Vosse, F. N. (2018). What is needed to make cardiovascular models suitable for clinical decision support? A viewpoint paper. Journal of Computational Science, 24, 68-84. https://doi.org/10.1016/j.jocs.2017.07.006
  • 2017
    • Heinen, S. G. H., van den Heuvel, D. A. F., Huberts, W., de Boer, S. W., van de Vosse, F. N., Delhaas, T., & de Vries, J.-P. P. M. (2017). In Vivo Validation of Patient-Specific Pressure Gradient Calculations for Iliac Artery Stenosis Severity Assessment. Journal of the American Heart Association, 6(12), Article 007328. https://doi.org/10.1161/JAHA.117.007328
    • Zonnebeld, N., Maas, T. M. G., Huberts, W., van Loon, M. M., Delhaas, T., & Tordoir, J. H. M. (2017). Pre-operative Duplex Ultrasonography in Arteriovenous Fistula Creation: Intra- and Inter-observer Agreement. European Journal of Vascular and Endovascular Surgery, 54(5), 613-619. https://doi.org/10.1016/j.ejvs.2017.08.005
    • Walmsley, J., van Everdingen, W., Cramer, M. J., Prinzen, F. W., Delhaas, T., & Lumens, J. (2017). Combining computer modelling and cardiac imaging to understand right ventricular pump function. Cardiovascular Research, 113(12), 1486-1498. https://doi.org/10.1093/cvr/cvx154
    • van Everdingen, W. M., Walmsley, J., Cramer, M. J., van Hagen, I., De Boeck, B. W. L., Meine, M., Delhaas, T., Doevendans, P. A., Prinzen, F. W., Lumens, J., & Leenders, G. E. (2017). Echocardiographic Prediction of Cardiac Resynchronization Therapy Response Requires Analysis of Both Mechanical Dyssynchrony and Right Ventricular Function: A Combined Analysis of Patient Data and Computer Simulations. Journal of the American Society of Echocardiography, 30(10), 1012-1020. https://doi.org/10.1016/j.echo.2017.06.004
    • Hermans, B. J. M., Vink, A. S., Bennis, F. C., Filippini, L. H., Meijborg, V. M. F., Wilde, A. A. M., Pison, L., Postema, P. G., & Delhaas, T. (2017). The development and validation of an easy to use automatic QT-interval algorithm. PLOS ONE, 12(9), Article 0184352. https://doi.org/10.1371/journal.pone.0184352
    • Janousek, J., Kovanda, J., Lozek, M., Tomek, V., Vojtovic, P., Gebauer, R., Kubus, P., Krejcir, M., Lumens, J., Delhaas, T., & Prinzen, F. (2017). Pulmonary Right Ventricular Resynchronization in Congenital Heart Disease Acute Improvement in Right Ventricular Mechanics and Contraction Efficiency. Circulation-Cardiovascular Imaging, 10(9), Article 006424. https://doi.org/10.1161/CIRCIMAGING.117.006424
    • Bennis, F. C., van der Ster, B. J. P., van Lieshout, J. J., Andriessen, P., & Delhaas, T. (2017). A machine-learning based analysis for the recognition of progressive central hypovolemia. Physiological Measurement, 38(9), 1791-1801. https://doi.org/10.1088/1361-6579/aa7d3d
    • Spronck, B., Delhaas, T., De Lepper, A. G. W., Giroux, J., Goldwasser, F., Boutouyrie, P., Alivon, M., & Reesink, K. D. (2017). Patient-specific blood pressure correction technique for arterial stiffness: evaluation in a cohort on anti-angiogenic medication. Hypertension Research, 40(8), 752-757. https://doi.org/10.1038/hr.2017.32
    • Spronck, B., Avolio, A. P., Tan, I., Butlin, M., Reesink, K. D., & Delhaas, T. (2017). Reply: physics cannot be disputed. Journal of Hypertension, 35(7), 1523-1525. https://doi.org/10.1097/HJH.0000000000001350
    • Willems, M. G. M., Kemp, M. W., Fast, L. A., Wagemaker, N. M. M., Janssen, L. E. W., Newnham, J. P., Payne, M. S., Spiller, O. B., Kallapur, S. G., Jobe, A. H., Delhaas, T., Kramer, B. W., & Wolfs, T. G. A. M. (2017). Pulmonary vascular changes in extremely preterm sheep after intra-amniotic exposure to Ureaplasma parvum and lipopolysaccharide. PLOS ONE, 12(6), Article 0180114. https://doi.org/10.1371/journal.pone.0180114
    • Pluijmert, M., Delhaas, T., de la Parra, A. F., Kroon, W., Prinzen, F. W., & Bovendeerd, P. H. M. (2017). Determinants of biventricular cardiac function: a mathematical model study on geometry and myofiber orientation. Biomechanics and modeling in mechanobiology, 16(2), 721-729. https://doi.org/10.1007/s10237-016-0825-y
    • Palau-Caballero, G., Walmsley, J., Van Empel, V., Lumens, J., & Delhaas, T. (2017). Why septal motion is a marker of right ventricular failure in pulmonary arterial hypertension: mechanistic analysis using a computer model. American Journal of Physiology-heart and Circulatory Physiology, 312(4), H691-H700. https://doi.org/10.1152/ajpheart.00596.2016
    • Delhaas, T. (2017). Is individualized corrected QT interval a silver bullet for the diagnosis of long QT syndrome?Heart Rhythm, 14(3), 383-384. https://doi.org/10.1016/j.hrthm.2017.01.013
    • Zonnebeld, N., Huberts, W., van Loon, M. M., Delhaas, T., & Tordoir, J. H. M. (2017). Preoperative computer simulation for planning of vascular access surgery in hemodialysis patients. Journal of vascular access, 18(1), S118-S124. https://doi.org/10.5301/jva.5000661
    • Kooger, B. L. S., Jaspers, G. J., van Hunnik, A., Delhaas, T., & Vanagt, A. Y. (2017). Deep brain stimulator-induced flutter-like artefact on Holter recording. European Heart Journal, 38(1), 61-61. https://doi.org/10.1093/eurheartj/ehv751
    • Spronck, B., Avolio, A. P., Tan, I., Butlin, M., Reesink, K. D., & Delhaas, T. (2017). Arterial stiffness index beta and cardio-ankle vascular index inherently depend on blood pressure but can be readily corrected. Journal of Hypertension, 35(1), 98-104. https://doi.org/10.1097/HJH.0000000000001132
    • Evers, E. S., Walavalkar, V., Pujar, S., Balasubramanian, L., Prinzen, F. W., Delhaas, T., Vanagt, W. Y., & Maiya, S. (2017). Does heart-type fatty acid-binding protein predict clinical outcomes after pediatric cardiac surgery. Annals of Pediatric Cardiology, 10(3), 245-247. https://doi.org/10.4103/apc.APC_33_17
    • Spronck, B., Delhaas, T., Butlin, M., Reesink, K., & Aviolo, A. P. (2017). Options for Dealing with Pressure Dependence of Pulse Wave Velocity as a Measure of Arterial Stiffness: An Update of Cardio-Ankle Vascular Index (CAVI) and CAVI0. Pulse, 5(1-4), 106-114. https://doi.org/10.1159/000479322
    • Vanagt, W., Amin, H., Brouwers, A., Pottgens, C. C. H., Wolfs, T., Cleutjens, J., Swennen, Q., Delhaas, T., & Prinzen, F. (2017). Sildenafil Postconditioning in a Rat Model of Ventricular Fibrillation/Resuscitation. Journal of Clinical & Experimental Cardiology, 8(6), 530. https://doi.org/10.4172/2155-9880.1000530
    • Geerdink, L. M., Sarvaas, G. J. D. M., Kuipers, I. M., Helbing, W. A., Delhaas, T., ter Heide, H., Rozendaal, L., de Korte, C. L., Singh, S. K., Ebels, T., Hazekamp, M. G., Haas, F., Bogers, A. J. J. C., & Kapusta, L. (2017). Surgical outcome in pediatric patients with Ebstein's anomaly: A multicenter, long-term study. Congenital Heart Disease, 12(1), 32-39. https://doi.org/10.1111/chd.12404
  • 2016
    • Quicken, S., Donders, W. P., van Disseldorp, E. M. J., Gashi, K., Mees, B. M. E., van de Vosse, F. N., Lopata, R. G. P., Delhaas, T., & Huberts, W. (2016). Application of an Adaptive Polynomial Chaos Expansion on Computationally Expensive Three-Dimensional Cardiovascular Models for Uncertainty Quantification and Sensitivity Analysis. Journal of Biomechanical Engineering-Transactions of the Asme, 138(12). https://doi.org/10.1115/1.4034709
    • Pluijmert, M., Bovendeerd, P. H. M., Lumens, J., Vernooy, K., Prinzen, F., & Delhaas, T. (2016). New insights from a computational model on the relation between pacing site and CRT response. EP Europace, 18(Suppl_4), iv94–iv103. https://doi.org/10.1093/europace/euw355
    • Mast, T. P., Teske, A. J., Walmsley, J., van der Heijden, J. F., van Es, R., Prinzen, F. W., Delhaas, T., van Veen, T. A., Loh, P., Doevendans, P. A., Cramer, M. J., & Lumens, J. (2016). Right Ventricular Imaging and Computer Simulation for Electromechanical Substrate Characterization in Arrhythmogenic Right Ventricular Cardiomyopathy. Journal of the American College of Cardiology, 68(20), 2185-2197. https://doi.org/10.1016/j.jacc.2016.08.061
    • Palau-Caballero, G., Walmsley, J., Gorcsan, J. III., Lumens, J., & Delhaas, T. (2016). Abnormal Ventricular and Aortic Wall Properties Can Cause Inconsistencies in Grading Aortic Regurgitation Severity: A Computer Simulation Study. Journal of the American Society of Echocardiography, 29(11), 1122-1130.e4. https://doi.org/10.1016/j.echo.2016.07.015
    • Dupuis, L. J., Lumens, J., Arts, T., & Delhaas, T. (2016). Mechano-chemical Interactions in Cardiac Sarcomere Contraction: A Computational Modeling Study. PLoS Computational Biology, 12(10). https://doi.org/10.1371/journal.pcbi.1005126
    • Verdurmen, K., Lempersz, C., Vullings, R., Schroer, C., Delhaas, T., van Laar, J. O. E. H., & Oei, S. G. (2016). Normal ranges for fetal electrocardiogram values for the healthy fetus of 18-24 weeks of gestation: a prospective cohort study. BMC Pregnancy and Childbirth, 16(1), Article 227. https://doi.org/10.1186/s12884-016-1021-x
    • Eck, V. G., Donders, W. P., Sturdy, J., Feinberg, J., Delhaas, T., Hellevik, L. R., & Huberts, W. (2016). A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications. International Journal for Numerical Methods in Biomedical Engineering, 32(8), Article e02755. https://doi.org/10.1002/cnm.2755
    • Holtackers, R. J., Spronck, B., Heusinkveld, M. H. G., Crombag, G., op het Roodt, J., Delhaas, T., Kooi, E., Reesink, K. D., & Hermeling, E. (2016). Head orientation should be considered in ultrasound studies on carotid artery distensibility. Journal of Hypertension, 34(8), 1551-1555. https://doi.org/10.1097/HJH.0000000000000985
    • Tan, I., Spronck, B., Kiat, H., Barin, E., Reesink, K. D., Delhaas, T., Avolio, A. P., & Butlin, M. (2016). Heart Rate Dependency of Large Artery Stiffness. Hypertension, 68(1), 236-242. https://doi.org/10.1161/HYPERTENSIONAHA.116.07462
    • Zwanenburg, A., Hermans, B. J. M., Andriessen, P., Niemarkt, H. J., Jellema, R. K., Ophelders, D. R. M. G., Vullings, R., Wolfs, T. G. A. M., Kramer, B. W., & Delhaas, T. (2016). Comparison of ECG-based physiological markers for hypoxia in a preterm ovine model. Pediatric Research, 79(6), 907-915. https://doi.org/10.1038/pr.2016.21
    • Ophelders, D. R. M. G., Wolfs, T. G. A. M., Jellema, R. K., Zwanenburg, A., Andriessen, P., Delhaas, T., Ludwig, A.-K., Radtke, S., Peters, V., Janssen, L., Giebel, B., & Kramer, B. W. (2016). Mesenchymal Stromal Cell-Derived Extracellular Vesicles Protect the Fetal Brain After Hypoxia-Ischemia. Stem Cells Translational Medicine, 5(6), 754-763. https://doi.org/10.5966/sctm.2015-0197
    • Upendra Walavalkar, V., Evers, E., Pujar, S., Viralam, K., Maiya, S., Frerich, S., John, C., Rao, S., Reddy, C., Spronck, B., Prinzen, F., Delhaas, T., & Vanagt, W. Y. (2016). Preoperative Sildenafil administration in children undergoing cardiac surgery: a randomized controlled preconditioning study. European Journal of Cardio-Thoracic Surgery, 49(5), 1403-1410. https://doi.org/10.1093/ejcts/ezv353
    • Wang, Y., Molin, D. G. M., Sevrin, C., Grandfils, C., van den Akker, N. M. S., Gagliardi, M., Knetsch, M. L., Delhaas, T., & Koole, L. (2016). In vitro and in vivo evaluation of drug-eluting microspheres designed for transarterial chemoembolization therapy. International Journal of Pharmaceutics, 503(1-2), 150-162. https://doi.org/10.1016/j.ijpharm.2016.03.002
    • Spronck, B., Megens, R. T. A., Reesink, K. D., & Delhaas, T. (2016). A method for three-dimensional quantification of vascular smooth muscle orientation: application in viable murine carotid arteries. Biomechanics and modeling in mechanobiology, 15(2), 419-432. https://doi.org/10.1007/s10237-015-0699-4
    • Spronck, B., Delhaas, T., op het Roodt, J., & Reesink, K. D. (2016). Carotid Artery Applanation Tonometry Does Not Cause Significant Baroreceptor Activation. American Journal of Hypertension, 29(3), 299-302. https://doi.org/10.1093/ajh/hpv064
    • Walmsley, J., Huntjens, P. R., Prinzen, F. W., Delhaas, T., & Lumens, J. (2016). Septal flash and septal rebound stretch have different underlying mechanisms. American Journal of Physiology-heart and Circulatory Physiology, 310(3), H394-H403. https://doi.org/10.1152/ajpheart.00639.2015
    • Spronck, B., Walmsley, J., Palau-Caballero, G., Reesink, K. D., & Delhaas, T. (2016). Can significance of aortic sinus vortices be assessed using the assumptions in the model of Aboelkassem et al.?Journal of Theoretical Biology, 389, 304-305. https://doi.org/10.1016/j.jtbi.2015.05.032
    • Willems, M. G. M., Ophelders, D. R. M. G., Nikiforou, M., Jellema, R. K., Butz, A., Delhaas, T., Kramer, B. W., & Wolfs, T. G. A. M. (2016). Systemic interleukin-2 administration improves lung function and modulates chorioamnionitis-induced pulmonary inflammation in the ovine fetus. American Journal of Physiology-Lung Cellular and Molecular Physiology, 310(1), L1-L7. https://doi.org/10.1152/ajplung.00289.2015
  • 2015
    • Jellema, R. K., Ophelders, D. R. M. G., Zwanenburg, A., Nikiforou, M., Delhaas, T., Andriessen, P., Mays, R. W., Deans, R., Germeraad, W. T. V., Wolfs, T. G. A. M., & Kramer, B. W. (2015). Multipotent adult progenitor cells for hypoxic-ischemic injury in the preterm brain. Journal of Neuroinflammation, 12(1), 241. https://doi.org/10.1186/s12974-015-0459-5
    • Lumens, J., Prinzen, F. W., & Delhaas, T. (2015). Longitudinal Strain "Think Globally, Track Locally". JACC-Cardiovascular Imaging, 8(12), 1360-1363. https://doi.org/10.1016/j.jcmg.2015.08.014
    • Donders, W. P., Huberts, W., van de Vosse, F. N., & Delhaas, T. (2015). Personalization of models with many model parameters: an efficient sensitivity analysis approach. International Journal for Numerical Methods in Biomedical Engineering, 31(10), Article e02727. https://doi.org/10.1002/cnm.2727
    • Lumens, J., Tayal, B., Walmsley, J., Delgado-Montero, A., Huntjens, P. R., Schwartzman, D., Althouse, A. D., Delhaas, T., Prinzen, F. W., & Gorcsan, J. (2015). Differentiating Electromechanical From Non-Electrical Substrates of Mechanical Discoordination to Identify Responders to Cardiac Resynchronization Therapy. Circulation-Cardiovascular Imaging, 8(9), Article e003744. https://doi.org/10.1161/CIRCIMAGING.115.003744
    • Huberts, W., Donders, W. P., Delhaas, T., & van de Vosse, F. N. (2015). Applicability of the polynomial chaos expansion method for personalization of a cardiovascular pulse wave propagation model - correction. International Journal for Numerical Methods in Biomedical Engineering, 31(7), e02720. https://doi.org/10.1002/cnm.2720
    • Walmsley, J., Arts, T., Derval, N., Bordachar, P., Cochet, H., Ploux, S., Prinzen, F. W., Delhaas, T., & Lumens, J. (2015). Fast Simulation of Mechanical Heterogeneity in the Electrically Asynchronous Heart Using the MultiPatch Module. PLoS Computational Biology, 11(7), Article e1004284. https://doi.org/10.1371/journal.pcbi.1004284
Overview