News

  • 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.

  • Matthias Hebrok, Professor for Applied Stem Cell and Organoid Systems. Image: Andreas Heddergott / TUM

    Regulating the immune response in a targeted and localized way

    Engineered immune cells may be able to tame inflammation

    12 December 2024 | Whether it's type 1 diabetes, other autoimmune diseases or organ transplants – when the immune system gets out of balance, it can be dangerous. Instead of suppressing the entire system as a consequence and risking severe side effects, it would be preferable to regulate it in a targeted and localized manner. This is precisely what researchers have now engineered regulatory immune cells for.

  • Leibniz Awardee 2025: Prof. Daniel Rückert. Image: Juli Eberle / TUM

    Most important German research prize for TUM professor

    Medical AI researcher Daniel Rückert receives Leibniz Prize

    11 December 2024 | Computer scientist and AI researcher Prof. Daniel Rückert receives the Gottfried Wilhelm Leibniz Prize 2025. The professor of AI in Medicine and Healthcare at TUM is being honored for his research on AI-assisted medical imaging. The most important German research prize is endowed with 2.5 million euros by the DFG.

  • Stained pancreatic cancer organoid. The newly developed organoids mimic the varied and complex structures of pancreatic cancer in the body. Image: Aris Papargyriou / TUM

    Foundation for new cancer treatment strategies

    Organoids represent the complex cell landscape of pancreatic cancer

    11 December 2024 | A team led by researchers at TUM has, for the first time, grown tumor organoids that mimic the different structures and characteristics of pancreatic cancer. The scientists investigated how the various tumor organoids react to established and novel treatments. This opens the door to the development of effective new therapies.

  • The Dies Academicus 2024 in the TUM Audimax with around 1000 guests. Image: Andreas Heddergott / TUM

    Dies Academicus under the motto "Facta non verba - deeds instead of words"

    TUM celebrates a successful 2024

    06 December 2024 | TUM celebrated the end of an extraordinarily successful 2024 with the Dies Academicus. Students, employees, and partners of TUM, including Prof. Hendrik Dietz and Prof. Oliver Hayden, PIs at MIBE, gathered in the Audimax at the main campus in Munich under the motto "Facta non verba" - deeds instead of words.