JR-Center for phytogenic active ingredients research
We use phytogenic drugs to prevent diseases in humans and to improve animal health.
3D-Lithography Structures for Cell Differentiation
We use 3D-cell scaffolds that imitate the external matrix to investigate cell-cell-interactions.
Based on relevant key performance indicators, we standardize the process management in hospitals.
We investigate the origin of thrombosis by means of micro fluidics and super-resolution microscopy.
We develop smart phantoms for the optimization and education of ultrasound imaging diagnosis and guided interventions.
In this project, our researchers biophysically characterize extra-cellular bioparticles which may be used in therapy of diseases.
We want to help leg amputees to better perceive their exo-prostheses by improving the transfer of pressure information.
Diagnostics of Biomarkers & Analysis of Drug Dynamics
We expand the infrastructural and methodical basis for drug development and diagnostics.
We develop pharmaceutical tea products based on selected sorts of tea that contain health promoting substances.
We investigate polymer surfaces (µm/nm) that imitate chemical and mechanical properties of biological systems.
Biophysical Characterization of Therapeutical Antibodies
We examine the function of monoclonal antibodies on molecular level to treat cancer.
We develop algorithms to identify proteins from mass spectroscopy data and micro-patterning assays.
In the Czech-Austrian Center for Supracellular Medical Research, lithography is used to print polymer structures.
We develop measuring methods for the assessment of 3D-printed implants that are accepted by public authorities.
miRNA-Transfer for Single-HDL-Particles to Cells
We characterize the miRNA-communication between tissues on a nano-level.
We investigate temperature-dependent thrombocyte activation in plasma to extend the shelf-life of blood preserves.
We identify and characterize herbal antidiabetic drugs that are used for the prevention and treatment of diabetes.
The aim of this project is to design mixed-reality-simulators for prospective surgeons that improve medical education.
In this project, we develop a high-resolution 3D-fluorescence microscopy system for biomedical diagnostics.
At the faculty Hagenberg, we develop self-learning search algorithms for high-resolution mass spectrometry-data.