Key Research Priority - Medical Technology
Demographic change in conjunction with ever more efficient technologies coupled with increasing health costs demand increasingly individualised patient management. As a result, the need for complete diagnostic information and simultaneously more tolerable, high quality therapies is increasing.
The activities of the research priority are dedicated in particular to the following three core areas:
- intelligent image and sensor data processing
- workflow and IT.
In bioanalysis, the emphasis is on efficient automation of processes, as well as the highly sensitive and specific detection of new biomarkers. In this connection, particularly in recent years, much work has been done in molecular diagnostics, for example for the early detection of cancer.
Nuclear medicine techniques or magnetic resonance tomography are already in the position today to capture physiological details and thus provide non-invasive information which until now could only be measured by taking (invasive) tissue samples. Moreover, medical imaging processes enable individual and adaptive therapeutic plans to be devised and interventions to be controlled in real time.
As the functionality and quality of medicial products increases, so too do the complexity of their operation, the requirement for an efficient workflow and the need to interlink different devices and process ever-increasing quantities of data. Solutions for intuitive and safe use, for interlinking devices in the tightly organised, high-tech everyday clinical practice and the efficient processing and presentation of large quantities of data are the focus of our interest.
Several factors provide Landshut University of Applied Sciences with excellent conditions for applied research projects in the field of medical technology, including
- the interdisciplinary composition of the medical technology research group withprofessors from almost all faculties of the university,
- a large number of first-class laboratories
- the educational programme Biomedical Engineering related courses in other courses (e.g. Master of Electrical Engineering, Master of Applied Research)
- the network "Netzwerk Medizintechnik",
- the advisory board for medical technology,
- various collaborations with regional clinics and companies.
More information about current and past projects can be found here.