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Biomedical Image Science
We develop methods & techniques for depicting anatomy & function in the human body & its organs. From imaging techniques, through methods of analysis and quantification of image information, to validation of new methods and image-based biomarkers.
Advanced Tissue Simulating Optical Phantoms
A fundamental shift in early medical device development that replaces animal testing with physical proxies that are constructed specifically to mimic human tissue over a range of pathological states.
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Clinical Translation of SFDI Instrumentation
The design and development of low-cost, handheld devices toward seamless integration in to clinical practice, reducing translational barriers novel technologies and methods
Biomedical Imaging and Spectroscopy; Clinical Instrument Translation (BISCIT)
We develop methods and instrumentation that advance spectroscopy, light transport modeling, and imaging of tissue; creating quantitative, non-invasive tools for the clinical detection, monitoring or treatment of skin diseases and injuries.
Biomedical Optics
Biomedical Optics studies the basic principles of interaction between light and biological tissues, cells and molecules and develops new technologies for use in basic research and clinical applications.
BME@LiU 2025
Welcome to BME@LiU 21 May 2025 - a conference day filled with activities related to research and work conducted within the field of biomedical engineering at 腦瞳憫.
Neuroengineering
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.
The LVAD Self-Care Behaviour Scale
The Left Ventricular Assist Device Self-care Behaviour Scale.
Dynamic implants for precision medicine - Connecting Device Physics with Biophysic
By integrating device engineering with biophysical insights, this project drives the development of smarter drug delivery systems with refined dose adjustments to push the boundaries of precision in preclinical medical sciences.
Systems Biology
By combining mathematical models, prior knowledge, and experimental data, we unravel biological mechanisms and contribute to the development of new drugs and clinical tools.