Division of Biomedical Engineering (MT)

Through the development and integration of medical research and education with health care and industries, we contribute to increased quality of life in a global perspective.

The Department of Biomedical Engineering at Linköping University is a national center for research, education, and innovation in Biomedical Engineering. Our activities are driven by the society’s healthcare needs and are conducted in close collaboration with the biomedical industry and hospital clinics.

Our main goal is to be a catalyst for sustainable growth in the biomedical engineering innovation systems of the future - an arena for leading international researchers, teachers, entrepreneurs, and students - where new knowledge is created and disseminated. Through development and integration of biomedical research and education with the health care and the business community, we contribute to enhanced quality of life on a global scale.

Research fields in biomedical engineering

Our latest publications

2025

Johanne Irene Andreassen, Ankica Babic (2025) Visualizing the Intersection of Climate Change Concerns, Health, Attitudes and Demographic Factors Studies in Health Technology and Informatics, p. 545-549 (Article in journal) Continue to DOI
Johanne Irene Andreassen, Ankica Babic (2025) Tailoring Infographics of the Norwegian National Dietary Guidelines Studies in Health Technology and Informatics, p. 260-264 (Article in journal) Continue to DOI
Johanne Irene Andreassen, Ankica Babic (2025) Harnessing Visualization to Enhance Digital Twin in Health Applications Studies in Health Technology and Informatics, p. 595-596 (Article in journal) Continue to DOI
Krister Bauge, Ankica Babic (2025) Gaming for Cognitive Assessment and Enhancement in Elders: A Secondary Analysis of Literature and Applications Studies in Health Technology and Informatics, p. 178-182 (Article in journal) Continue to DOI
Anders Borkenhagen, Ankica Babic (2025) Exploring the Role of Digital Twins in Heart Care: Research Directions and Applications Studies in Health Technology and Informatics, p. 163-167 (Article in journal) Continue to DOI
Arash Gharehbaghi, Ankica Babic (2025) Artificial Intelligence in Cognitive Decline Diagnosis: Evaluating Cutting-Edge Techniques and Modalities Studies in Health Technology and Informatics, p. 46-50 (Article in journal) Continue to DOI
Nicolas Sundqvist, Henrik Podéus, Sebastian Sten, Maria Engström, Salvador Dura-Bernal, Gunnar Cedersund (2025) Model-driven meta-analysis establishes a new consensus view: Inhibitory neurons dominate BOLD-fMRI responses Computers in Biology and Medicine, Vol. 197, Article 111014 (Article in journal) Continue to DOI
Peter Thompson, Benjamin Jan Andersson, Nicolas Sundqvist, Gunnar Cedersund (2025) A new method for a priori practical identifiability PLOS ONE, Vol. 20, Article e0327593 (Article in journal) Continue to DOI
Elisabeth Klint (2025) Multimodal Brain Tumor Tissue Identification: Integration of Optical Guidance and Quantitative MRI in Neuronavigated Biopsies
Elisabeth Klint, Anders Tisell, Ida Blystad, Martin Hallbeck, Teresa Nordin, Jan Hillman, Johan Richter, Karin Wårdell (2025) Quantitative MRI relaxometry in brain tumor needle biopsies: Multimodal comparison with tissue fluorescence, radiology, and neuropathology PLOS ONE, Vol. 20, Article e0326765 (Article in journal) Continue to DOI

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