In Bavaria, there is an abundance of top researchers and companies focusing on Artificial Intelligence (AI) in the healthcare sector, creating a strong network. The Health Node of the Bavarian High-Tech Agenda, centered in the Erlangen-Nuremberg metropolitan region, serves as a crucial hub for high-tech innovations in healthcare. The Friedrich-Alexander University (FAU) and the Nuremberg metropolitan region are already beacons in the field of medical technology. The AI Health Node located at FAU, embedded within the “Medical Valley” cluster, forms an internationally recognized and efficient network structure involving the University Hospital Erlangen, the Medical, Technical, and Natural Sciences faculties of FAU, and over 500 companies in the medical technology and healthcare industry of the metropolitan region.

History and development of (bio)medical research

The region has a long history in (bio)medical research dating back to the 18th century. Over recent decades, it has established itself as an international center for (bio)medical research and development and is now a leader in AI in healthcare. Particularly noteworthy is the Department of Artificial Intelligence in Biomedical Engineering (AIBE) founded in 2020 at FAU. The research at the AIBE department focuses on the exploration and development of intelligent systems in medicine, emphasizing theoretical foundations as well as applications for future healthcare, where the human element is central. The researchers at the AIBE department not only have solid foundations in artificial intelligence, machine learning, computer science, and data science but also in applying these concepts in medical technology.

Supporting healthcare and medical innovation

By pooling expertise and resources, the Health Node contributes to improving healthcare, advancing medical innovations, and enhancing the competitiveness of Bavaria’s health sector both nationally and internationally.

health news

With “ehrapy”, Helmholtz Munich offers a tool for analyzing medical data. Prof. Fabian Theis, Chairman of the Bavarian AI Council, emphasizes the importance of this technology for AI systems in medicine.
In a current study at Friedrich-Alexander-Universität Erlangen-Nürnberg, researchers are using AI to analyze spontaneous brain activity. The technology helps in the diagnosis and treatment of neurological diseases.
A study led by the Technical University of Munich (TUM) illustrates the clinical benefits of AI software in facial analysis. The study identified new genetic diseases in 34 patients.

Universities and institutions

The spokesperson of the node is Prof. Andreas Maier, FAU Erlangen-Nuremberg.