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Group members

 Please wait... Alumni György Marko-Varga    Professor, former group leaderErika Velasquez        Postdoctoral Fellow (2024-2026)Magdalena Kuras    Postdoctoral Fellow (2023-2025)Jonatan Eriksson    PhD student (2017-2021)Richard Máté        Visiting student from Semmelweis University, Hungary, 2021Anna Solta        Visiting PhD student from Medical University of Vienna, Austria, 2022Anna Sólyom-T

https://www.bme.lth.se/en/research/biological-mass-spectrometry/group-members - 2026-06-27

Thomas Laurell Group

We work with lab-on-a-chip technology and acoustofluidics within life sciences. Specific attention is given to development of techniques for acoustic manipulation of cells, microparticles and nano bioparticles (extra cellular vesicles) in microfluidic systems to solve critical needs in life science research and medicine. We are developing microchip acoustophoresis for rare cell isolation, e.g. cir

https://www.bme.lth.se/en/research/nanobiotechnology-and-lab-chip/thomas-laurell-group - 2026-06-27

Biomechanics

The human body is like a machine where the different components (e.g. bones, muscles, ligaments and tendons) are mechanically connected. The musculoskeletal system is subjected to mechanical forces created by the earth's gravity and body movements. These forces largely determine tissue development, growth and health through an intricate feed-back system where cells within the tissue can sense thei

https://www.bme.lth.se/en/research/biomechanics - 2026-06-27

Frida Sandberg Group

Our research aims to provide tools for improved diagnosis and personalized treatment of cardiovascular disease. We develop tailored methodology for extraction information from signals of cardiovascular origin, using biomedical signal processing, model-based analysis, and machine-learning. Frida Sandbergfrida [dot] sandberg [at] bme [dot] lth [dot] se (frida[dot]sandberg[at]bme[dot]lth[dot]se)Profi

https://www.bme.lth.se/en/research/biomedical-signal-processing/frida-sandberg-group - 2026-06-27

Martin Stridh Group

We use biomedical signals and data-driven approaches to diagnostics and treatment outcome prediction. Current research include automatic arrhythmia detection and outcome prediction in large databases of home-based ECG measurements, and event detection in cardiac as well as eye-tracking signals.  Martin Stridhmartin [dot] stridh [at] bme [dot] lth [dot] se (martin[dot]stridh[at]bme[dot]lth[dot]se)P

https://www.bme.lth.se/en/research/biomedical-signal-processing/martin-stridh-group - 2026-06-27

Magnus Cinthio Group

We study novel methods for fast and accurate measurements of tissue motion, with potential applications for diagnosis of stroke and cardiovascular disease. Tissue motion estimation is widely used to determine function and elasticity of tissue and organs. There are many different methods for motion estimation in one, two and three directions. However, the methods of today is often either computatio

https://www.bme.lth.se/en/research/ultrasound/magnus-cinthio-group - 2026-06-27

Biosonar

Dolphins and other toothed whales use echolocation. They by far outperform the current human synthetic equivalents. We seek to learn from the dolphins in order to improve the human systems, for potentially improve medical diagnostics and for testing of novel materials. Dolphins and other toothed whales use echolocation - a way of investigating their surroundings by emitting short ultrasound pulses

https://www.bme.lth.se/en/research/ultrasound/biosonar - 2026-06-27