Medical technology

Quantum sensors for magnetic measurements - 02/06/2026

New insights into muscle physiology – contactless and three-dimensional

Contactless measurement of muscle activity and training effects: using highly sensitive quantum sensors, researchers at the Universities of Tübingen and Stuttgart are setting new standards. This technology has the potential to revolutionise clinical diagnostics and optimise training and neuroscience research.

Living systems such as cells rely on membrane pores and channels to transport molecules, exchange signals, and organize biochemical reactions. These functions emerge from dynamic interactions between molecular components. Researchers at the University of Stuttgart have used DNA nanotechnology to develop a synthetic membrane architecture that mimics such interactions.

AI is transforming science and does not stop at neuroscience. In this interview, we speak to Gabriele Lohmann about her research at the intersection of the brain and algorithms. She talks about the use of artificial intelligence as a research tool, the decoding of brain activity, and why large language models do not understand what they are doing.

Until now, it has been technically nearly impossible to rotate highly sensitive samples in all directions under a microscope without making contact. Researchers at the KIT have developed a new laser-based technique that allows microscopic samples such as cells to be rotated contact-free in all three spatial directions. The laser creates tiny temperature differences in the liquid, which trigger gentle fluid flows that move the sample.

Prof. Dr Simon Elsässer will be awarded one of this year’s Alexander von Humboldt Professorships in Berlin on 12 May 2026. With funding of five million euros, Elsässer will strengthen Freiburg’s research focus ‘Signals of Life’ over the next five years. In this interview, he discusses complex decision-making processes in cells, the significance of signals and what makes the research environment in Freiburg so special.

The Medical Center – University of Freiburg has implemented a new system that helps nurses identify risky situations early on and provide more targeted assistance / Motion detection is performed using radar

MRI analysis of fat and muscle distribution in more than 66,000 people provides a more accurate assessment of health risks / Poor muscle quality poses an additional risk / Study provides reference values based on age, sex, and height

Digital bone twin by OSORA medical - 04/05/2026

Fractures in focus: predicting rather than waiting

Bone fractures are generally healed by the body without any issues. However, there are hundreds of thousands of cases each year in which a fracture either fails to heal or only does so slowly. To reduce the number of cases where this happens, a start-up called OSORA medical has developed methods to predict the healing process and, if necessary, make preventative adjustments.

A novel biomimetic tissue substitute combines precisely tunable mechanical properties with biological functionality and is now ready for applications in medical technology. The material was developed in the »PolyKARD« project by Fraunhofer IAP and the NMI Natural and Medical Sciences Institute. From 20.-24.04, 2026, the material will be presented together with further developments at the Hannover Messe, Fraunhofer joint booth.

How can you charge electric cars without plugging them into the power grid for hours on end? How can industrial robots be “refueled” during operation? And how does wireless energy transfer improve medical technology? These questions have occupied Prof. Nejila Parspour, Director of the Institute of Electrical Energy Conversion (IEW) at the University of Stuttgart, for more than twenty years.

Brain-computer interfaces can read neural signals and influence brain activity. We spoke with Pascal Fries about how this technology can benefit people with neurological and psychiatric conditions, future developments, and his views on ethical boundaries.

Computer simulations and Artificial Intelligence are the main pillars of the “SIMPLAIX” collaboration, initiated by the Heidelberg Institute for Theoretical Studies (HITS). Together with colleagues from Heidelberg University and Karlsruhe Institute of Technology, HITS researchers are addressing challenges in the simulation of biomolecules and molecular materials by pooling their expertise in multiscale computer simulation and machine learning.