Technohal

M.P. Mulder MSc (Marijn)

Technical physician | Lecturer & PhD candidate
TNW-BIS-CRPH
Technohal 3184
m.p.mulder-1@utwente.nl
+31534895625
Business card

I am an enthusiastic and driven technical physician; currently working as lecturer and
researcher at the University of Twente in the Cardiovascular and Respiratory Physiology (CRPH) group. I finished my master Technical Medicine in 2020, within the Medical Sensing and Stimulation track. During my PhD research I study human hemodynamics, since I find the analysis of complex problems and cardiovascular physiology fascinating. I can express my creativity and systematic way of thinking when programming, analysing and modelling. I find it important that my work is socially relevant, for example by directly improving patient care. With my passion for education and teaching I hope to also help, motivate and inspire others.

Expertise

  • Medicine and Dentistry

    • Systematic Review
    • Noncardiac Surgery
    • Artificial Respiration
    • Hypotension
    • Learning
    • Observational Study
    • Randomized Clinical Trial
    • Mean Arterial Pressure

Organisations

My research focuses on hemodynamic instability in critically ill patients, this a common and significant problem on the ICU. By the means of advanced signal analysis and computational modelling, we aim to unravel the underlying pathophysiology. In this way we can support clinicians in making the right treatment choice and therefore promote more personalized hemodynamic management.

Publications

2025

Challenges in zero-flow blood pressure as a measure of mean circulatory filling pressure: Experimental and computational perspectives (2025)Physiological Reports, 13(19), e70599. Article e70599. van Loon, L. M., Mulder, M. P., Dort, D. I. M., van der Hoeven, J. G., Donker, D. W. & Lemson, J.https://doi.org/10.14814/phy2.70599Context-specific clinical applicability of the end-expiratory occlusion test to predict fluid responsiveness in mechanically ventilated patients: A systematic review and meta-analysis (2025)European journal of anaesthesiology, 42(8), 737-746. Mulder, M. P., Potters, J.-W., van Loon, L. M., Rumindo, K., Hallbäck, M., Maksuti, E., Donker, D. W. & Diez, C.https://doi.org/10.1097/EJA.0000000000002181AI for the hemodynamic assessment of critically ill and surgical patients: focus on clinical applications (2025)Annals of Intensive Care, 15(1). Article 26. Michard, F., Mulder, M. P., Gonzalez, F. & Sanfilippo, F.https://doi.org/10.1186/s13613-025-01448-w

2024

Machine learning can predict post‑induction hypotension in a general surgical population with excellent performance (2024)Intensive Care Medicine Experimental, 12, 175-175. Article 87. van Dalen, E. M., Mulder, M. P., Donker, D. W. & Potters, J.-W.https://doi.org/10.1186/s40635-024-00658-zHypotension Prediction Index Is Equally Effective in Predicting Intraoperative Hypotension during Noncardiac Surgery Compared to a Mean Arterial Pressure Threshold: A Prospective Observational Study (2024)Anesthesiology, 141(3), 453-462. Mulder, M. P., Harmannij-Markusse, M., Fresiello, L., Donker, D. W. & Potters, J.-W.https://doi.org/10.1097/ALN.0000000000004990Additional file 5 of Computational physiological models for individualised mechanical ventilation: a systematic literature review focussing on quality, availability, and clinical readiness (2024)[Dataset Types › Dataset]. figshare. Warnaar, R. S. P., Mulder, M. P., Fresiello, L., Cornet, A. D., Heunks, L. M. A., Donker, D. W. & Mos-Oppersma, E.https://doi.org/10.6084/m9.figshare.26602660Additional file 6 of Computational physiological models for individualised mechanical ventilation: a systematic literature review focussing on quality, availability, and clinical readiness (2024)[Dataset Types › Dataset]. figshare. Warnaar, R. S. P., Mulder, M. P., Fresiello, L., Cornet, A. D., Heunks, L. M. A., Donker, D. W. & Mos-Oppersma, E.https://doi.org/10.6084/m9.figshare.26602663The Hypotension Prediction Index and concurrent Mean Arterial Pressure are comparable in predicting intraoperative hypotension: an observational study in non-cardiac surgery patients (2024)[Contribution to conference › Poster] Euroanesthesia, EA 2024 . Mulder, M. P.The Hypotension Prediction Index and concurrent mean arterial pressure are comparable in predicting intraoperative hypotension: an observational study in non-cardiac surgery patients (2024)[Contribution to conference › Abstract] Euroanesthesia, EA 2024 (Accepted/In press). Mulder, M. P., Harmannij-Markusse, M., Fresiello, L., Donker, D. W. & Potters, J.-W.

2023

Computational physiological models for individualised mechanical ventilation: a systematic literature review focussing on quality, availability, and clinical readiness (2023)Critical care, 27(1). Article 268. Warnaar, R. S. P., Mulder, M. P., Fresiello, L., Cornet, A. D., Heunks, L. M. A., Donker, D. W. & Oppersma, E.https://doi.org/10.1186/s13054-023-04549-9

Research profiles

Half of my appointment at the UT I dedicate to teaching in both the bachelor and master program of Technical Medicine. I'm involved in the education and projects of Module 2 (Pathophysiology) and 6 (Cardiorespiratory system) in the bachelor, where I use models and simulations to explain basic (patho)physiological concepts of the cardiovascular system. In the master I teach the technical medical skills courses Injections, Punctures & Catheterisations and Emergency Reasoning, were students learn how to, for example, do a venepuncture and systematically approach a patient case. Next to that, I’m also involved in the master course Circulation & Ventilation, which covers ICU monitoring and management. As a technical supervisor, I supervise bachelor assignments (TGO) and master students during their clinical (specialisation) internships in projects connected to my research interests.

Affiliated study programs

Courses academic year 2025/2026

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2024/2025

Address

University of Twente

Technohal (building no. 18), room 3184
Hallenweg 5
7522 NH Enschede
Netherlands

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Organisations

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