Nick van Osta

Post doc

Nick van Osta graduated from the Technical University Eindhoven in 2017 with a master in Biomedical Engineering. He obtained his PhD at the Department of Biomedical Engineering (Maastricht University) under the supervision of Prof. Joost Lumens and Prof. Tammo Delhaas. During his PhD, he worked on important aspects of patient-specific modelling. He developed a modelling framework which can estimate tissue properties based on clinical deformation measurements in patients with arrhythmogenic cardiomyopathy using the CircAdapt model – a model of the cardiovascular system.

As of November 2021, he continued his career as a platform scientist at the Department of Biomedical Engineering (Maastricht University) to further explore the applicability of the Digital Twin approach.

Department of Biomedical Engineering
Universiteitssingel 50, 6229 ER Maastricht
PO Box 616, 6200 MD Maastricht
  • 2024
    • Koopsen, T., van Osta, N., van Loon, T., Meiburg, R., Huberts, W., Beela, A. S., Kirkels, F. P., van Klarenbosch, B. R., Teske, A. J., Cramer, M. J., Bijvoet, G. P., van Stipdonk, A., Vernooy, K., Delhaas, T., & Lumens, J. (2024). Parameter subset reduction for imaging-based digital twin generation of patients with left ventricular mechanical discoordination. Biomedical Engineering Online, 23(1), Article 46.
    • Koopsen, T., Gerrits, W., van Osta, N., van Loon, T., Wouters, P., Prinzen, F. W., Vernooy, K., Delhaas, T., Teske, A. J., Meine, M., Cramer, M. J., & Lumens, J. (2024). Virtual pacing of a patient’s digital twin to predict left ventricular reverse remodelling after cardiac resynchronization therapy. EP Europace, 26(1), Article euae009.
  • 2023
    • Kirkels, F. P., Rootwelt-Norberg, C., Bosman, L. P., Aabel, E. W., Muller, S., Castrini, A. I., Taha, K., van Osta, N., Lie, Ø. H., Asselbergs, F. W., Lumens, J., Te Riele, A. S. J. M., Hasselberg, N. E., Cramer, M. J., Haugaa, K., & Teske, A. J. (2023). The added value of abnormal regional myocardial function for risk prediction in arrhythmogenic right ventricular cardiomyopathy. European heart journal. Cardiovascular Imaging, 24(12), 1710-1718. Article jead174.
    • Kirkels, F. P., van Osta, N., Rootwelt-Norberg, C., Chivulescu, M., van Loon, T., Aabel, E. W., Castrini, A. I., Lie, Ø. H., Asselbergs, F. W., Delhaas, T., Cramer, M. J., Teske, A. J., Haugaa, K. H., & Lumens, J. (2023). Monitoring of Myocardial Involvement in Early Arrhythmogenic Right Ventricular Cardiomyopathy Across the Age Spectrum. Journal of the American College of Cardiology, 82(9), 785-797.
  • 2022
    • Koopsen, T., Van Osta, N., Van Loon, T., Van Nieuwenhoven, F. A., Prinzen, F. W., Van Klarenbosch, B. R., Kirkels, F. P., Teske, A. J., Vernooy, K., Delhaas, T., & Lumens, J. (2022). A Lumped Two-Compartment Model for Simulation of Ventricular Pump and Tissue Mechanics in Ischemic Heart Disease. Frontiers in physiology, 13, Article 782592.
  • 2021
    • van Osta, N., Kirkels, F. P., van Loon, T., Koopsen, T., Lyon, A., Meiburg, R., Huberts, W., Cramer, M. J., Delhaas, T., Haugaa, K. H., Teske, A. J., & Lumens, J. (2021). Uncertainty Quantification of Regional Cardiac Tissue Properties in Arrhythmogenic Cardiomyopathy Using Adaptive Multiple Importance Sampling. Frontiers in physiology, 12, Article 738926.
    • van Osta, N., Kirkels, F., Lyon, A., Koopsen, T., van Loon, T., Cramer, M.-J., Teske, A. J., Delhaas, T., & Lumens, J. (2021). Electromechanical substrate characterization in arrhythmogenic cardiomyopathy using imaging-based patient-specific computer simulations. EP Europace, 23, I153-I160.
  • 2020
    • van Osta, N., Lyon, A., Kirkels, F., Koopsen, T., van Loon, T., Cramer, M. J., Teske, A. J., Delhaas, T., Huberts, W., & Lumens, J. (2020). Parameter subset reduction for patient-specific modelling of arrhythmogenic cardiomyopathy-related mutation carriers in the CircAdapt model. Philosophical Transactions of the Royal Society A: mathematical Physical and Engineering Sciences, 378(2173), Article 20190347.