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

Rasmus Magnusson, Carl Soderberg, Liam Ward, Jenny Arpe, Fredrik Kugelberg, Albert Elmsjö, Henrik Green, Elin Nyman (2026) The human metabolome and machine learning improves predictions of the post-mortem interval Nature Communications, Vol. 17, Article 1504 (Article in journal) Continue to DOI
Par Nordell, Rasmus Jansson-Lofmark, Peter Gennemark (2026) Systemic Pharmacokinetic Principles of Therapeutic Peptides Clinical Pharmacokinetics, Article PMID 7606849 (Article in journal) Continue to DOI
Vittoria Bucciarelli, Dorian Vogel, Karin Wårdell, Jerome Coste, Patric Blomstedt, Jean-Jacques Lemaire, Raphael Guzman, Simone Hemm-Ode, Teresa Nordin (2026) Towards robust probabilistic maps in Deep Brain Stimulation: exploring the impact of patient number, stimulation counts, and statistical approaches Frontiers in Computational Neuroscience, Vol. 19, Article 1699192 (Article in journal) Continue to DOI
Joel Wahl, Dirce Pineda Vazquez, Elisabeth Klint, Jan Hillman, Johan Richter, Peter Milos, Kerstin Ramser (2026) Artificial neural networks combined with quotients to preprocess Raman Spectra from different setups Vibrational Spectroscopy, Vol. 142, Article 103882 (Article in journal) Continue to DOI
Christoforos Spyretos, Juan Manuel Pardo Ladino, Hakon Blomstrand, Per Nyman, Oscar Snödahl, Alia Shamikh, Nils Elander, Neda Haj-Hosseini (2026) Quantification of Ki-67 labeling index in pediatric brain tumor immunohistochemistry images Journal of Neuropathology and Experimental Neurology (Article in journal) Continue to DOI
Anna Sjors Dahlman, Christer Ahlström, Wendy Jones, Sally Maynard, Adam Asmal, Ashleigh Filtness (2026) Fatigue in the ferry industry and its relation to roster patterns, schedules, and job roles Chronobiology International, Vol. 43, p. 289-304 (Article in journal) Continue to DOI
Elisabeth Klint, Johan Richter, Teresa Nordin, Ida Blystad, Martin Hallbeck, Alexandra Golby, Carl-Fredrik Westin, Karin Wårdell (2026) Mapping brain tumor microstructure: A multimodal study of diffusion MRI, intraoperative fluorescence, and neuropathology in navigated biopsies NeuroImage: Clinical, Vol. 49, Article 103921 (Article in journal) Continue to DOI
Stina Mauritzon, Fredrik Ginstman, Sofie Tapper, Peter Zsigmond, Karin Wårdell (2026) Cerebral microcirculation in neurointensive care patients: An observational and comparative analysis of laser Doppler flowmetry signals and clinical monitoring data Biomedical Signal Processing and Control, Vol. 114, Article 109217 (Article in journal) Continue to DOI
Peder af Geijerstam, John Chalmers, Jan Engvall, Hanna Jonasson, Carl Johan Östgren, Sara Bergstrand, Tomas Strömberg, Fredrik Nyström, Karin Rådholm (2026) Associations between home, office and central blood pressure and microcirculatory dysfunction in a middle-aged population Pulse, Vol. 14, p. 1-11 (Article in journal) Continue to DOI
Iulian Emil Tampu, Per Nyman, Christoforos Spyretos, Ida Blystad, Alia Shamikh, Gabriela Prochazka, Teresita Díaz de Ståhl, Johanna Sandgren, Peter Lundberg, Neda Haj-Hosseini (2026) Pediatric brain tumor classification using digital pathology and deep learning: Evaluation of SOTA methods on a multi-center Swedish cohort Brain Pathology, Vol. 36, Article e70029 (Article in journal) Continue to DOI

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