The global demand for innovative medical technology solutions continues to grow as we live longer, healthier lives. Medical technology plays a fundamental role in the process of creating faster and more efficient medical procedures, to improve and help the already complex techniques performed by physicians. The point of action of MedTech is not only with the medical procedures but also with the improvement of the doctor-patient relationship, and medical data analytics are key areas in which work is being focused.

Within this evolving landscape, the Friedrich-Alexander University of Erlangen-Nürnberg plays a key role as a source of innovation and research. Since 1974, the Pattern Recognition Lab (LME) has worked on the development and implementation of algorithms for the analysis of patterns such as images and speech, also encountering numerous medical applications. FAU’s scope of research in this field keeps expanding, encompassing an active academic production through several chairs that have joined forces (such as computer science, multimedia communication, and sensor technology, among others). Furthermore, bachelor’s and master’s programs in medical engineering have been brought to life as a response to high demands for qualified professionals in the field. Few places in the world have a higher density of expertise in the field of MedTech: the combination of academia and industry has made FAU and the city of Erlangen a center for the creation of knowledge.

The purpose of this map is to be a source of rich information relating to ongoing research projects and collaboration of key stakeholders at FAU. For this task, the information is structured based on clusters using the main medical technology branches of research at FAU, namely Digital Health, Sensors & Robotics, Medical Processes, Imaging, Biomaterials, as well as MedTech in Society. These fields can be accessed by clicking on the below button “Research Fields”.