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

2026

Tomas Strömberg, Nina Berggren, Marcus Larsson, Ingemar Fredriksson, Martin Hultman (2026) Cutaneous microvascular reactivity in the foot evaluated by optical multimodal pointwise and imaging techniques and different stimuli Microvascular Research, Vol. 167, Article 104987 (Article in journal) https://dx.doi.org/10.1016/j.mvr.2026.104987
Ida Wergeland Sævareid, Ankica Babic (2026) Visual Digital Twins for Arthroplasty: Conceptual Dashboards Integrating Patient Clusters and Clinical Pathways Studies in Health Technology and Informatics, p. 36-40 (Article in journal) https://dx.doi.org/10.3233/shti260791
Ankica Babic, William Røise, Carl Oskar Kraft Sahlgaard, Ida Wergeland Sævareid (2026) Toward Clinical Digital Twins: A Three-Dimensional Framework for Knowledge Extraction, Pathway Modeling, and Visualization Using MIMIC-IV Data Studies in Health Technology and Informatics, p. 1639-1643 (Article in journal) https://dx.doi.org/10.3233/shti260503
Shrutha Morthala, Ankica Babic (2026) Toward Gender-Aware Digital Twins for Modeling Cognitive Decline Studies in Health Technology and Informatics, p. 1787-1788 (Article in journal) https://dx.doi.org/10.3233/shti260534
Oliwia Kudyba, Ankica Babic (2026) ICD-10 and SNOMED CT Representations of Cognitive Decline in All of Us Studies in Health Technology and Informatics, p. 259-263 (Article in journal) https://dx.doi.org/10.3233/shti260842
Oliwia Kudyba, Ankica Babic (2026) Designing a Multimodal Data Structure for Cognitive Decline Using All of Us Resources and Gemini Flash Thinking Studies in Health Technology and Informatics, p. 564-569 (Article in journal) https://dx.doi.org/10.3233/shti260234
Carl Oskar Kraft Sahlgaard, Ankica Babic (2026) Digital Cousins in Arthroplasty: An Interpretable Clustering Framework Studies in Health Technology and Informatics, p. 688-692 (Article in journal) https://dx.doi.org/10.3233/shti260933
William Røise, Ankica Babic (2026) Clinical Pathways and Digital Twins in MIMIC-IV: A Proof-of-Concept Study Studies in Health Technology and Informatics, p. 744-748 (Article in journal) https://dx.doi.org/10.3233/shti260944
Krister Bauge, Ankica Babic (2026) Balancing Engagement and Validity in Game-Based Cognitive Assessments Studies in Health Technology and Informatics, p. 1791-1792 (Article in journal) https://dx.doi.org/10.3233/shti260536
Wolf Bartholomä, Shan Cai, Christian Simonsson, Markus Karlsson, Stergios Kechagias, Mischa Woisetschläger, Nils Dahlström, Peter Lundberg (2026) Pharmacokinetic modelling of MRI-based liver function for risk assessment in primary sclerosing cholangitis: a prospective pilot study European Radiology Experimental, Vol. 10, Article 91 (Article in journal) https://dx.doi.org/10.1186/s41747-026-00764-5

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