News

  • Lukas Driendl, doctoral candidate in the research group “Bio-inspired Information Processing”, at a conference in Orlando. He investigates how the auditory nerve responds to electrical simulation. Image: Werner Hemmert / TUM

    On the road for research

    From Simulations to Sunshine: Hearing Research in Orlando

    24 June 2025 | Sunshine, science, and simulation. At the MidWinter Meeting of the Association for Research in Otolaryngology (ARO) in Orlando, Lukas Driendl, doctoral candidate in the research group “Bio-Inspired Information Processing”, spent an inspiring week diving into the latest in hearing research.

  • Researcher Carolin Müller from TUM Klinikum presents a new robotic module developed for cases of tension pneumothorax. Image: TUM

    Remote relief of tension pneumothorax

    Robot treats injured people in flight

    23 June 2025 | Researchers at the Technical University of Munich (TUM) have developed a medical robotic system to save lives. It relieves injured people with life-threatening tension pneumothorax in the chest cavity.

  • Biophysicist Prof. Dr. Friedrich Simmel, TUM spokesperson for the BioSysteM Cluster of Excellence. Image: Stefan Woidig / TUM

    Prof. Friedrich Simmel on the new BioSysteM Cluster of Excellence

    "Thinking of biology as technology"

    20 June 2025 | The BioSysteM Cluster of Excellence aims to develop self-organizing molecular and cellular systems with programmable, life-like properties. Spokesperson Prof. Friedrich Simmel explains in an interview why the involvement of society is crucial in this context.

  • In the right half of this tissue section, engineered immune cells known as CAR T cells are attacking tumor tissue. A new method makes it possible to visualize them in the body using PET imaging, as shown here in the superimposed image. Image: Volker Morath / TUM

    New method for labeling T cells in immunotherapy

    Tracking immune cells inside the body

    13 June 2025 | In modern immunotherapy, modified immune cells are introduced into the body to attack tumors and other targets. Researchers at the Technical University of Munich (TUM) have developed a method for tracking these cells in the body. This new approach could deepen our understanding of cellular therapies and help make future treatments safer.

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

    Neural Networks benefit from biological data

    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

    NewIn: Can Dincer

    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.

  • Artistic depiction of the new transport system ENVLPE delivering a gene-editing tool towards a recipient cell.

    Engineering Smart Delivery for Gene Editors

    17 April 2025 | New system enables more efficient and precise gene editing and could help make cancer immunotherapies more accessible.

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

    Artificial intelligence in biomedicine

    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

    Interview with Prof. Can Dincer on wearable medical sensors

    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

    Algorithm for particularly precise assessment of brain damage

    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.