Researcher, PhD student, Radboudumc, Netherlands
🔬 Short Biography 🌿💊📚
Mr. Matheus van Rens is a dedicated researcher and Ph.D. student specializing in Operational Research at Radboud University Medical Center (Radboudumc), Netherlands. His work focuses on applying advanced mathematical and computational models to optimize healthcare systems, improve decision-making processes, and enhance patient outcomes. With a strong foundation in quantitative analysis and system optimization, Matheus contributes to innovative solutions at the intersection of health and operations research. His academic journey is marked by a passion for impactful, data-driven research aimed at real-world applications in the medical field.
Profile
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🎓 Education
Matheus (Roland) van Rens holds a Master of Advanced Nursing Practice (MaANP) from Erasmus University, Netherlands, completed in 2005. He is currently pursuing a PhD at Radboud University Medical Center, focusing on neonatal infusion safety, including advanced CAD applications in the development of medical devices. His academic path reflects a deep commitment to combining clinical excellence with engineering innovation to improve outcomes in neonatal care.
💼 Professional Experience
With over 30 years of clinical and academic experience, Roland is a seasoned neonatal nurse practitioner and expert researcher. He has led multicenter clinical trials evaluating innovative catheter securement methods, such as glue-based technologies, and played a pivotal role in developing the Rely-V platform—an advanced flow-monitoring sensor for neonatal IV infusions. His work has made him a respected voice in neonatal vascular access, and he actively contributes as a board member of the Neonatal European Vascular Access Team (NEVAT).
🔬 Research Focus
Roland’s research concentrates on enhancing infusion safety and delivery systems in neonatology. His main domains include infusion flow monitoring, catheter securement evaluation, sensor integration into clinical workflows, and simulation-based system modelling. He is particularly focused on applying real-time sensor technologies to reduce infusion-related complications in premature and critically ill infants.
🏆 Awards & Achievements
Roland is the author of the book “Neonatal Vascular Access and Neurodevelopmental Care”, published by Springer in 2025. He has been an invited speaker at key international platforms, including WoCoVA, ESPR, GaVAPed, and SIGNEC. His innovative work in neonatal infusion technology has earned him recognition across Europe and contributed significantly to advancing patient safety in neonatal units.
🛠️ Skills
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Neonatal vascular access techniques
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Infusion safety and sensor technologies
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Medical device prototyping using CAD
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Clinical simulation and system design
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Multicenter clinical trial coordination
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Scientific writing and academic publishing
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Public speaking and knowledge translation
📚Publication
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Short versus long peripheral intravenous catheters in neonates: a retrospective cohort study
Year: 2025
Authors: Matheus F. P. T. van Rens, Kevin Hugill, Robin van der Lee, Fiammetta Piersigilli, Airene L. V. Francia, Fredericus H. J. van Loon, Mohammad A. A. Bayoumi
DOI: 10.1038/s41598-025-00301-1
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Clotted blood samples in the neonatal intensive care unit: A retrospective, observational study to evaluate interventions to reduce blood sample clotting
Year: 2024
Authors: Matheus F. P. T. van Rens, Kevin Hugill, Airene L. V. Francia, Abraham Victor Macaraig, Fredericus H. J. van Loon, Timothy R. Spencer, Mohammad A. A. Bayoumi
DOI: 10.1111/nicc.12941
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Outcomes of establishing a neonatal peripheral vascular access team
Year: 2023
Authors: Matheus van Rens, Kevin Hugill, Mohammed Abdul Khader Gaffari, Airene V Francia, Thiruveni Ramkumar, Krisha L P Garcia, Fredericus H J van Loon
DOI: 10.1136/archdischild-2021-322764
🏁conclusion:
Dr. Zhao Song is an excellent candidate for the Best Researcher Award. His proven ability to develop cutting-edge, commercial-ready solutions, along with original research that pushes the frontiers of 3D computer vision and graphics, strongly justifies his nomination. Recognizing him with this award would encourage continued innovation at the intersection of vision, AI, and human digitalization.