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Welcome to BME@LiU 25 May 2026 - a conference day filled with activities related to research and work conducted within the field of biomedical engineering at ¸£Àû¼§.

BME@LiU is a day filled with presentations and activities related to the field of biomedical engineering. The activities reach out to all researchers, companies, organisations, students and clinicians who support, contribute to, or utilise BME...

Kajsa Tunedal, at Department of Biomedical Engineering (IMT), defends her thesis entitled, "Unraveling Patient-Specific Cardiovascular Mechanisms of Hypertension Using Mathematical Modeling and MRI". Opponent is Dan Beard, Professor in the...

Neuroengineering is a cross-disciplinary research area where engineering meets neuroscience. New methods, tools and techniques are developed and translated for clinical use. The research contributes to new knowledge of the human brain.

We aim towards being the world leading group in the unravelling of systems-level mechanistic insights, using inter-connected M4 models for decision support in pharma and P4 medicine – thereby making a positive change in society.

By combining mathematical models, prior knowledge, and experimental data, we unravel biological mechanisms and contribute to the development of new drugs and clinical tools.

Neuroinformatics explores how technology can enhance understanding and support of the human brain and behavior. It combines machine learning, apps, games, and robotics to study cognition, emotion, and interaction.

In this project, OCT’s potentials for intra-operative and postoperative (laboratory) pathology diagnostics are investigated.

We develop and implement medical image analysis methods using deep learning. Our medical focus areas are cancer, orthopedics and body composition analysis using multiple image and data modalities.