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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 - 2026-05-29

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 - 2026-05-29

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 - 2026-05-29

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 - 2026-05-29

Tomas Jansson Group

Future medical imaging technology moves in the direction of molecular imaging where a contrast agent has been functionalized with tumor/tissue specific targeting agents (i.e. antibodies, affibodies, peptides, aptamers). Thus the contrast particle binds specifically to e.g. tumor tissue and can be enriched there. In other words, what is probed is the molecular abnormality that is the basis of the d

https://www.bme.lth.se/en/research/ultrasound/tomas-jansson-group - 2026-05-29

Biomedical Signal Processing

Electrical signals exist in many places in the human body, and are used for communication from and to the brain. They are employed to e.g. contract a muscle. We use computer simulations in order to better understand how the heart and other organs work, and to develop medical devices for diagnosis of, among others, heart disease. We combine expertise in signal processing and machine-learning method

https://www.bme.lth.se/en/research/biomedical-signal-processing - 2026-05-29

Pelle Ohlsson Group

We invent tomorrow’s microfluidic chips for medical diagnostics, biological research and agriculture, for instance finding bacteria in blood samples using ultrasound or crop pathogens in soil using AI-based image analysis. Finding bacteria in blood for sepsis diagnosticsSepsis is a systemic response to an infection and can be deadly. It is most often caused by bacteria, but concentrations of the c

https://www.bme.lth.se/en/research/nanobiotechnology-and-lab-chip/pelle-ohlsson-group - 2026-05-29

Engineering Health Annual Meeting_oldnarrow

September 21-22 The 2026 edition has a sustainability theme. Join us for two days of talks, activities, and poster presentations. Register here!   Program Monday September 21st10:00 Registration10:30 Welcome Address10:45 Keynote Speaker 111:30 Science Speed Dating or Breakout room discussions12:15 Lunch13:30 Invited Talks (10 min + 5 min Q&A)14:45 Coffee Break15:15 Pitch presentations (3 Minutes)1

https://www.bme.lth.se/en/engineering-health-annual-meetingoldnarrow - 2026-05-29

Biological mass spectrometry

Biological mass spectrometry is an important tool in modern biomedical research, providing detailed insights into the molecular composition of cells, tissues, and biofluids. Through sensitive and large-scale analysis of proteins and small molecules, mass spectrometry (MS) contributes to understanding biological processes and disease mechanisms beyond what can be inferred from genomic data alone. O

https://www.bme.lth.se/en/research/biological-mass-spectrometry - 2026-05-29