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.

The main focus of the research program of Prof. Dr. Werner Nahm's group is optical systems in medicine and life sciences. Current projects are focussing on surgical visualization and optical diagnosis [more].

The group of PD Dr. Axel Loewe develops computational models of the heart and applies them to cardiological problems. We focus on cardiac electrophysiology and elastomechanics to contribute to answer clinical questions such as the genesis of e.g. cardiac arrhythmias and appropriate treatment strategies. Signal processing of cardiac signals (ECG and electrograms), machine learning, and artificial intelligence are further focus fields [more].

News

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Workshop: Artificial Intelligence for Processing of Biomedical Signals with MATLAB

On Sunday September 8, 8:30-11:30am, Mathworks offers a workshop on "Leveraging Artificial Intelligence for Enhanced Processing of Biomedical Signals with MATLAB" on KIT Campus South.

Interested participants can find more information and register here.

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EWGCCE 2024 in Graz

The 48th conference of the ESC Working Group on Cardiac Cellular Electrophysiology took place in Graz from July 1 to 3. The focus was on the influence of the autonomic nervous system on heart rate and arrhythmias, compartmentalisation within cardiac myocytes and the latest experimental findings on iPSC cardiac myocytes. Moritz took the opportunity to present his work on the influence of the autonomic nervous system in sinoatrial node cell models.

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Summer School Bordeaux - Cardiac electrophysiology

From June 17th to June 21st, Stephanie and Silvia attended the Summer School in Bordeaux to deepen their knowledge of cardiac electrophysiology. Engaging lectures and an interactive lab tour at Liryc made this week a remarkable experience.

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IBT at 8th CMBE

From June 24 to June 26, the 8th International Conference on Computational and Mathematical Biomedical Engineering (CMBE) took place at the George Mason University in Arlington, Virginia. Our PhD student Stephanie was there to present our work on exploring the potential role of stretch-activated channels in the pathogenesis of atrial fibrillation in a mini-symposium on innovative computational models and methods for the cardiac function.

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i-STRATIFICATION study examines 800 virtual patients

In this study by Oxford University and KIT, various therapies were systematically investigated in 800 virtual patients with atrial fibrillation. The study aims to assign patients in whom pulmonary vein isolation was not successful as an initial therapy to optimal pharmacological and ablation therapies on the basis of in-silico tests. Treatment strategies vary depending on atrial size and the presence of low-voltage areas. In-silico models are a promising tool for individual therapy optimization in atrial fibrillation.

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IBT at the International Congress on Electrocardiology

The 49th edition of the International Congress on Electrocardiology, jointly organized by ISE and ISHNE, was held in Lund, Sweden in June. Axel Loewe presented research at the intersection of mechanistic modeling and machine learning to the mixed clinical/technical audience. As this year marks the centennial of Einthoven's Nobel Prize for the electrocardiogram (ECG), the conference was a perfect occasion to celebrate this invention that remains of utmost relevance for clinical practice and is poised to be propelled to new heights with the advent of artificial intelligence.

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Fickle Heart Workshop 2024

From June 2 to June 4, the Fickle Heart Workshop took place at the Isaac Newton Institute of Mathematical Science in Cambridge, focusing on digital twins, artificial intelligence and uncertainty quantification tools for calibration and forecasting. Axel, Patricia and Stephanie took the opportunity of this workshop to present their work in this field.

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