Institute for Medical Engineering and Medical Informatics
Research and development in the innovative sphere of medicine, technology, industry and higher education.
The Institute for Medical Engineering and Medical Informatics conducts research into diagnostics in living organisms and therapeutic systems. This work focuses on patient-specific solutions and on processing, analysing and communicating medical data. In cooperation with our partners, we address problems from the field of medicine and develop innovative solutions from the initial idea through to a functional model.
We are a competent research and development partner and devise practical solutions to current problems. Our staff offer experience of industry which they channel into their teaching as well as their research.
Our infrastructure includes devices that enable us to produce complex implants from the initial idea through to the sterilised packaging, and a demo operating theatre to test intraoperative integration solutions. Mechanical and electrical workshops, state-of-the-art measurement technology, a clean room and an S2 lab also support our researchers in their work.
Our fields of research
Biofabrication
Computer-aided cell arrangement to create 3D tissue structures for medicine and the pharmaceutical industry.
to Biofabrication
Computer Aided Surgery
Supporting surgical procedures with computer-based planning, simulation, navigation and instruments.
to Computer Aided Surgery
Clinical Information Systems
Design and development of clinical data processing and management systems; clinical information systems integration.
to Clinical Information Systems
Medical Decision Support Systems
Acquisition, processing and analysis of medicine and healthcare data, and the development of applications to make that data usable for patients, doctors and ...
to Medical Decision Support Systems
Minimally invasive systems
Better patient-friendly treatment through novel, minimally invasive instruments and support systems.
to Minimally invasive systems
Applied quantum computing in Life Sciences
Quantum and AI hybrid algorithms for near-term applications in the life sciences. Quantum (bio)sensing and communications for healthcare applications.
to Applied quantum computing in Life Sciences
Signal Analysis and Digital Biomarkers
Analysis of biosignals and sensor data for diagnostic systems. Development of signal processing algorithms for extraction of new digital biomarkers.
to Signal Analysis and Digital Biomarkers
Our range of courses
Get an overview of our initial and continuing education programmes in the field of medical engineering and medical informatics.
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