Biomedical Engineering

Welcome to the department of Biomedical Engineering

The department of Biomedical Engineering (BmE) is at the forefront of groundbreaking research in Chemical Biology, Regenerative Engineering & Materials, and Biomedical Imaging & Modelling. Our primary mission is to educate the next generation of biomedical engineers, who are knowledgeable, socially aware, entrepreneurial and responsible professionals.

To do so, we provide a safe and open environment that challenges students and staff to learn, explore and develop their talents. The close connection science, engineering and education, students and staff, is a key principle of our department where new scientific insights and developments are quickly integrated into education and students learn and are inspired by biomedical challenges.

News from our department

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April 16, 2025
Multi-Aperture Photoacoustic Imaging of Carotid Plaques
Amir Gholampour obtained his doctorate from BmE on April 15. His research focused on developing devices and methods to improve the characterization of carotid...
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Esther Visser. Photo: Levi Baruch
April 15, 2025
Lung cancer in the blood
Better diagnosing lung cancer with a blood test.
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Blood test for faster and smarter detection of lung cancer
April 14, 2025
Rubicon award for innovative cancer drug delivery research
April 14, 2025
Large Language Models for Biocatalysis Design
April 10, 2025
Vera van Hal makes an ultrasound with two transducers. Photo: Bart van Overbeeke
Two see more than one 鈥� improved imaging with multiple ultrasound transducers
April 3, 2025
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果冻传媒

We educate the new generation of biomedical engineers with high quality courses in biomedical engineering in our bachelor鈥檚 and master鈥檚 programs, and for our PDEng and PhD candidates

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Research

In our research, we integrate engineering with biology and medicine to develop coherent solutions to medical problems. Our main focus lies on chemical biology, regenerative engineering & materials and biomedical imaging & modelling. Next to these cross-disciplinary areas, we intensify our research by adopting the newest insights in machine learning and artificial intelligence and the broader perspective of immuno-engineering.

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