Are we already at a point where AI is beginning to understand and shape the physical world? Researchers exploring Embodied AI – aka “intelligence with a body” – are starting to push exactly in that direction. We talked to Thomas Wittenberg, Chief...
Imagine a future where your vehicle not only transports you safely from A to B but also actively monitors your health, including cognitive load, during every journey. This vision is rapidly becoming a reality with the integration of health...
If you’re developing AI‑driven health technologies or medical robotics, you are moving fast – but clinical adoption and regulatory approval depend on something far less glamorous: the quality of your data.
The FHIR® (Fast Healthcare Interoperability Resources)...
The digitalization of the healthcare sector is unfolding on multiple levels. It encompasses not only the enhancement of workflow processes and the establishment of data transfer standards but also innovations in digital...
In an increasingly complex world, users must process more and more information which makes information processing and decision-making all the more complex. Understanding cognitive load (i.e., the measurement of the...
It’s been three years since the launch of the “Trusted Ecosystem of Applied Medical Data eXchange (TEAM-X)”, the national project within the European GAIA-X network. In March 2025, Team-X celebrated the completion...
To advance the development of innovative driver monitoring systems, it is essential to acquire multimodal data that includes driving behavior, driver states, well-being, and cognitive load. However, to achieve high...
Tomorrow’s healthcare isn’t just about the transformation into a fully digitized and interconnected system; it’s also about nurturing, approving, and implementing innovative digital medical products. To gain...
Parkinson’s disease is the second most common neurodegenerative disease after Alzheimer’s, characterized by the progressive loss of nerve cells. As the disease progresses, both motor and non-motor symptoms...
What if your sensor nodes can’t agree on the time? Having all wireless sensor nodes developed and ready for use is an important milestone toward conducting multimodal experiments – but it’s only the beginning. To...
Collecting high-quality physiological data is fundamental to applied research and the broader field of personalized healthcare. Quality data – such as ECG, pulse, EEG, and EMG – is also essential for training AI...
The collection of robust and reliable medical data is essential for informed decision-making throughout the entire healthcare process and for health and wellbeing applications. Our approach to developing medical sensing...
© Fraunhofer IIS · 2026
Grit Nickel
Theresa Winkovich
Nadine Lang-Richter
Tobias Sebastian Zech
Georg Zweyer
Georg Wieland
Anna Chiwona
Christian Weigand
Yvonne Neß
Markus Jechow