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
  • 2025
    • van Osta, N., van Loon, T., & Lumens, J. (2025). Individual hearts: computational models for improved management of cardiovascular disease. Heart. Advance online publication. https://doi.org/10.1136/heartjnl-2024-324177
    • van Willigen, B. G., van Osta, N., van der Hout-van der Jagt, M. B., van de Vosse, F. N., & Huberts, W. (2025). A virtual population cohort approach for fetal cardiac valve modeling. Journal of Computational Science, 88, Article 102606. https://doi.org/10.1016/j.jocs.2025.102606
    • Manetti, C. A., van Osta, N., Beela, A. S., Herbots, L., Prinzen, F. W., Delhaas, T., & Lumens, J. (2025). Impact of myocardial phenotype on optimal atrioventricular delay settings during biventricular and left bundle-branch pacing at rest and during exercise: insights from a virtual patient study. EP Europace, 27(4), Article euaf082. https://doi.org/10.1093/europace/euaf082
    • Van Osta, N., Van Den Acker, G., Van Loon, T., Arts, T., Delhaas, T., & Lumens, J. (2025). Numerical accuracy of closed-loop steady state in a zero-dimensional cardiovascular model. Philosophical Transactions of the Royal Society A: mathematical Physical and Engineering Sciences, 383(2293), Article 20240208. https://doi.org/10.1098/rsta.2024.0208
  • 2024
    • van Loon, T., Rijks, J., van Koll, J., Wolffs, J., Cornelussen, R., van Osta, N., Luermans, J., Prinzen, F., Linz, D., van Empel, V., Delhaas, T., Vernooy, K., & Lumens, J. (2024). Accelerated atrial pacing reduces left-heart filling pressure: a combined clinical-computational study. European Heart Journal, 45(46), 4953-4964. https://doi.org/10.1093/eurheartj/ehae718
    • 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. https://doi.org/10.1186/s12938-024-01232-0
    • 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. https://doi.org/10.1093/europace/euae009