معرفی
Marijn P. Mulder serves as a Lecturer and Researcher in Cardiovascular and Respiratory Physiology at the TechMed Centre, University of Twente. His academic profile demonstrates active engagement in medical research with recent publications through 2025 and numerous presentations at professional conferences.
Mulder's research expertise centers on hemodynamic monitoring in critical care and surgical settings, with particular emphasis on hypotension prediction and fluid responsiveness assessment. His work integrates machine learning algorithms with traditional physiological monitoring techniques to enhance patient safety during surgical procedures. The research fingerprint indicates strong activity in systematic reviews, noncardiac surgery applications, randomized clinical trials, and artificial respiration monitoring, reflecting his interdisciplinary approach to solving clinical challenges in anesthesia and critical care medicine.
Mulder has received recognition for his scholarly contributions:
- Abstract award (2023)
- Oral presentation award (June 15, 2023)
- Winner poster award (June 16, 2022)
With an h-index of 7 and 492 citations, his research has demonstrated meaningful impact in the medical community. His publication record shows consistent productivity with 20 research outputs spanning from 2019 to 2025, including 7 articles, 5 posters, 3 abstracts, and 2 review articles. Mulder regularly presents his findings through invited talks and oral presentations, with recent engagements in 2023-2024 covering topics like hemodynamic curve physiology and hypotension prediction index applications.
As part of the TechMed Centre at the University of Twente, Mulder works within an interdisciplinary environment that bridges engineering and medical sciences to develop innovative healthcare technologies. His research collaborations extend internationally, as indicated by the global network visualization in his profile, suggesting active participation in multinational research initiatives focused on improving hemodynamic monitoring and patient outcomes during surgical procedures.
