Munich Institute of Biomedical Engineering

The Munich Institute of Biomedical Engineering (MIBE) is an Integrative Research Institute (IRI) within the Technical University of Munich (TUM) that fosters interdisciplinary cooperation and synergies between researchers from the broad field of Biomedical Engineering.

About MIBE

At MIBE, researchers specializing in medicine, the natural sciences, and engineering join forces to develop new methods for preventing, diagnosing or treating diseases. The activities cover the entire development process – from the study of basic scientific principles through to their application in new medical devices, medicines and software. Beyond research, MIBE also provides educational opportunities for students and doctoral candidates and fosters entrepreneurship.

 

News

  • Machine learning methods are applied to process enormous quantities of data. Image: iStockphoto.com / Amiak

    A key to analyzing millions of individual cells

    23 January 2025 | Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person’s cells differ from those of someone with a disease? To draw conclusions, enormous quantities of data must be analyzed and interpreted. For this purpose, machine learning methods are applied. Researchers at TUM and Helmholtz Munich have now tested self-supervised learning as a promising approach for testing 20 million cells or more.

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

    Continuous health monitoring with wearables

    18 December 2024 | Wearables such as smart watches or sensor rings are already a routine part of everyday life and are also popular Christmas gifts. They track our pulse rate, count our steps or analyze our sleep patterns. How can they already influence our behavior today and what future developments are possible? In this interview, Can Dincer, who holds a Professorship of Sensors and Wearables for Healthcare at TUM and is a PI at MIBE, offers insights into his research.

  • The time of a stroke is currently usually determined using CT scans. The darker the damaged region, the longer ago the stroke occurred. A new AI-supported procedure can determine the time much more precisely. Image: sudok1 / istockphoto.com

    AI pinpoints stroke timing with high accuracy

    16 December 2024 | Quick action after a stroke hits can significantly reduce permanent damage. However, it is crucial to determine the exact time of the event to decide on the best treatment. A research team, including expertise from TUM, has developed an algorithm that can determine the timing of a stroke with exceptional precision, outperforming current approaches by a factor of two.

Show all News