Munich Institute of Biomedical Engineering

MIBE is an Integrative Research Institute within the Technical University of Munich (TUM). Our research integrates engineering principles with biological and medical sciences, spanning from molecular structures and cellular systems to organoids, small-animal models, and ultimately, human applications. We are dedicated to transforming biomedical research into tangible health solutions, revolutionizing diagnostics, treatments, and personalized medicine.

Engineering for health & life

At the forefront of biomedical engineering, we use cutting-edge technology and scientific discoveries to improve people’s health and quality of life. Our research is grounded in three key pillars:

 

Detect

advancing technology & Ai for biomedical innovation

CT scans of kidneys. Image: Astrid Eckert / TUM
Image: Astrid Eckert / TUM

We develop pioneering technologies and AI-driven algorithms to push the boundaries of biomedical detection. Our work focuses on: microscopy, biomedical imaging and sensing.

 

 

Design

engineering novel biomedical solutions

Gordon Cheng develops artificial skin in order to provide robots with tactile feedback. Image: Astrid Eckert / TUM
Image: Astrid Eckert / TUM

Through computational modeling and experimental design, we create groundbreaking solutions for biomedical challenges. Our research includes: macromolecular & process engineering, cellular systems, organoid & small-animal models, and patient-centered innovations.

 

Deploy

translating bioengineering into clinical impact

Thorax phantom in a dark-field CT scanner. Image: Astrid Eckert / TUM
Image: Astrid Eckert / TUM

We bridge the gap between research and real-world applications by deploying innovative biomedical technologies. Our translational efforts focus on: smart therapies, disease insights, and medical imaging & therapy.

 

News

  • Julijana Gjorgjieva, professor for Computational Neurosciences at TUM. Image: Astrid Eckert / TUM

    How artificial intelligence can learn from mice

    12 June 2025 | The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications — from autonomous driving to robotics. Researchers at TUM have now discovered that artificial neural networks can perform this task better when trained with biological data from early visual system development.

  • Prof. Dr. Can Dincer, Professor for Sensors and Wearables for Healthcare Image: Andreas Heddergott / TUM

    Wearables: sensors for everyday life

    19 May 2025 | Blood sugar, heart rate, and sleep data – wearable sensors such as smartwatches, rings or insulin patches can be used to monitor health parameters in everyday life. In this episode of NewIn, we meet Prof. Can Dincer. He develops biochemical sensors for point-of-care diagnostics and wearables. He focuses on minimally and non-invasive applications, such as analyzing the breath.

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