dr.ir. L. Fresiello MEng (Libera)

Assistant Professor
TNW-BIS-CRPH
l.fresiello@utwente.nl
+31534894357
Business card

In January 2022, I was appointed as Assistant Professor in the Cardiovascular and Respiratory Physiology group (CRPH) at the faculty of Science and Technology of the University of Twente.

I obtained my Master degree in Biomedical Engineering at the Univ. Campus Bio-Medico of Rome and my II level Master degree in Clinical Engineering at the Univ. of Florence. I obtained a PhD in Biomedical Engineering at the Nalecz Institute of Biocybernetics and Biomedical Engineering in Warsaw, in collaboration with the Institute of Clinical Physiology of the National Research Council in Italy. For my post-doc, I joined the group of Cardiac Surgery of KU Leuven in Belgium, thanks to a Marie Curie scholarship. I was also visiting researcher at the Center for Medical Physics and Biomedical Engineering of the Medical Univ. of Vienna, thanks to the Frans Van de Werf scholarship.

My research focuses on the development of high-fidelity physiological computational and in vitro simulators to support the design and testing of cardiorespiratory therapies, particularly in the field of mechanical circulatory support (e.g., ECMO, LVAD, and TAH). These simulators are also used to unravel complex cause–effect relationships in acute and chronic pathophysiological conditions, which are often characterized by multiple, concomitant cardiopulmonary impairments. In such complex scenarios, simulators can facilitate the development and testing of new monitoring and management algorithms, thereby accelerating the implementation of more effective and personalized therapeutic strategies.

In addition, simulators represent powerful tools for healthcare education, enhancing teaching and training for medical and paramedical students through realistic, hands-on learning experiences.

I strongly believe interdisciplinarity is a key factor for a successful research in cardiovascular modelling.  I conduct my activity in strict collaboration with clinicians, covering several activities (clinical studies, in vivo studies, data collection and analysis), and then translate the acquired pathophysiological and clinical knowhow into simulators.

Expertise

  • Medicine and Dentistry

    • Patient
    • Cardiovascular System
    • Pump
    • Left Ventricular Assist Device
    • Hemodynamic
    • Ventricular Assist Device
    • Hybrid
    • Heart Output

Organisations

Publications

2026

Computational physiological models for hemodynamic management in critical care: a systematic literature review focusing on model design, credibility and clinical readiness (2026)Computers in biology and medicine, 205. Article 111561 (E-pub ahead of print/First online). Mulder, M. P., Warnaar, R. S. P., Arendshorst-Ruuls, T. F., van Loon, L. M., Meuwese, C. L., Broomé, M., Oppersma, E., Donker, D. W. & Fresiello, L.https://doi.org/10.1016/j.compbiomed.2026.111561More ECMO Flow, Same PCWP: Just What the Model Tells Us (2026)Journal of the American College of Cardiology (Accepted/In press). Meuwese, C. L., Donker, D. W., Fresiello, L., van Mieghem, N. M. & Broomé, M.https://doi.org/10.1016/j.jacc.2025.09.1612Comparison of a mean arterial pressure alarm to the hypotension prediction index in preventing intraoperative hypotension in elective moderate- to high-risk non-cardiac surgical patients: A study protocol for a blinded, parallel, randomized controlled trial with a non-inferiority framework (2026)Trials, 27(1). Article 104 (E-pub ahead of print/First online). Mulder, M. P., Florax, A. A., Harmannij-Markusse, M., Fresiello, L., Donker, D. W. & Potters, J.-W.https://doi.org/10.1186/s13063-025-09389-2Physiological-model-based neural network for modeling the metabolic–heart rate relationship during physical activities (2026)Computer methods and programs in biomedicine, 277. Article 109240 (E-pub ahead of print/First online). Zhang, Y., Fresiello, L., Veltink, P. H., Donker, D. W. & Wang, Y.https://doi.org/10.1016/j.cmpb.2026.109240

2025

Pmb-nn: Physiology-Centred Hybrid AI for Personalized Hemodynamic Monitoring from Photoplethysmography (2025)[Working paper › Preprint]. ArXiv.org. Zhang, Y., Fresiello, L., Veltink, P. H., Donker, D. W. & Wang, Y.https://doi.org/10.48550/arXiv.2512.10745A Physiological-Model-Based Neural Network Framework for Blood Pressure Estimation from Photoplethysmography Signals (2025)In 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); Vol. 2025). IEEE. Zhang, Y., Fresiello, L., Veltink, P. H., Donker, D. W. & Wang, Y.https://doi.org/10.1109/EMBC58623.2025.11251595Modeling age and sex variations of arterial pressure and cardiac hemodynamics in a virtual population using a 01-1D cardiovascular simulator (2025)American journal of physiology : Heart and circulatory physiology, 329(5), H1212-H1228. Wardhana, G., van Loon, L. M., Potters, J.-W., Fransen, A., Lafort, A., Kilic, Y., Donker, D. W. & Fresiello, L.https://doi.org/10.1152/ajpheart.00387.2025All models are wrong but some provide seemingly surprising mechanistic insights into the complexity of venoarterial extracorporeal membrane oxygenation (2025)Perfusion, 40(5), 1294-1296. Fresiello, L. & Donker, D. W.https://doi.org/10.1177/02676591241263908Physiological-Model-Based Neural Network for Heart Rate Estimation during Daily Physical Activities (2025)[Working paper › Preprint]. ArXiv.org. Zhang, Y., Fresiello, L., Veltink, P. H., Donker, D. W. & Wang, Y.https://doi.org/10.48550/arXiv.2506.10144Effects of chronic volume deprivation on the ventricle (2025)Interdisciplinary cardiovascular and thoracic surgery, 40(6). Article ivaf124. Cools, B., Rega, F., Van De Bruaene, A., Van Hecke, M., Fresiello, L., Devleeschauwer, S., Brown, S., Claus, P. & Gewillig, M.https://doi.org/10.1093/icvts/ivaf124

Research profiles

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