Engineering for Health
Welcome to the Institute of Biomedical Engineering (IBT) at Karlsruhe Institute of Technology (KIT). For more than 60 years we have been active in research and teaching in the field of biomedical engineering.
In interdisciplinary projects together with medical doctors and medical industry, we investigate new technical systems that help to diagnose diseases earlier and more accurately as well as systems that make therapies more successful.

Optical Imaging for intraoperative navigation and diagnosis – providing structural and functional information
Lead: Werner Nahm

Planning, personalization and monitoring of medical treatments
Lead: Maria Francesca Spadea

Mathematical simulations for optimizing cardiovascular prevention, diagnosis, and treatment
Lead: Axel Loewe

SS26: the Institute of Biomedical Engineering (IBT) will offer again the new Master course Technologies in Radiotherapy. The course is worth 6 ECTS and combines lectures, excursions, and a hands-on group project.
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A new coauthored paper in Physiological Reports explores the opportunities and challenges of human heart models for biomedical research. The article brings together experimental and computational perspectives, highlighting the value of in silico models for integrating data, testing hypotheses, and advancing cardiovascular research.
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In Summer Semester 2026, the IBT will offer the 2-day workshop “Practical Introduction to Research Software Engineering”. The course is worth 1 ECTS and is a hands-on introduction to the Unix shell, the version control system Git, and Python.
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Our PhD student Joshua Steyer was recently interviewed on “Nachgefragt – Wissen, wie’s läuft”, the science podcast by the Karlsruhe Institute of Technology. In this episode, Joshua talks about how to model the heart, particularly at the microscale, as well as the current challenges in realising such realistic simulations.
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A new book chapter co-authored by our team has been published in Ethical Perspectives on Artificial Intelligence in Biomedical Engineering (De Gruyter Brill). The chapter explores ethical challenges surrounding the development and deployment of AI in biomedical technologies, highlighting the importance of uncertainty awareness in healthcare innovation.
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Our new review article on artificial intelligence in cardiovascular medicine has been published. The paper outlines methodological foundations and highlights applications in imaging and ECG analysis, including deep learning for functional assessment and disease prediction. It also addresses generative AI, implementation challenges, and ethical considerations. The article is available in German.
Learn moreHead of Institute - Spokesman of collegial institute management
+49 721 608 - 43849
Werner Nahm ∂does-not-exist.kit edu
Raum 514
Head of Institute
+49 721 608-48035
mf spadea ∂does-not-exist.kit edu
Raum 512
Akademischer Oberrat
Head of Computational Cardiac Modeling
Sekretariat/Assistenz
+49 721 608-42650
irene guenter ∂does-not-exist.kit edu
513
30.33 Campus Süd



