Understanding biological processes
People have always striven to understand and influence biological processes in humans to heal diseases. Simulation technology males an important contribution to this today. In order to meet current challenges, different simulation methods have to be coupled. For example, operations can then be successfully scheduled for a specific patient.
In order to meet these and other tasks, we bring together different research disciplines:
- Natural Sciences
- System Theory
So we can provide an interactive, coupled, multi-physics and multi-scale description of the human body - from solid state simulations of crash test dummies to computer-aided continuum mechanics to cell mechanical and systems biology considerations.
Learn more about the five key ingredients we use to develop an integrated human model.
Revealation of the invisible
Which forces affect the body? How much force is needed to create a specific movement? What damage potential exists? Unfortunately, most of the physical quantities necessary to answer these questions can not be measured directly on a living organism or animal. In computer-aided biomechanics, we intend to close the gap using computer modeling.
Combining established areas
We use engineering methods based on discrete mechanics and continuum mechanics and adapt them to biomechanical needs.
Make forcasts possible
Classical biology has been and still is very successful in determining the components of living organisms and their interaction mechanisms. Today, systems biology provides insights that go beyond that. It enables forecasts. It uses dynamic mathematical models to describe biological networks - on individual scales and across many scakes. For numerical simulations and computational analyzes of these models, we develop new simulation models.
Simulate cellular dynamics
To study the dynamics of physiological processes in living organisms, we implement and simulate multiscale models. They describe biochemistry and cellular population dynamics on scales ranging from molecular dynamics to the interaction of organs in physiology. We embed the models in a simulation environment that allows us to predict physiological responses of an organism to external influences at different scales.
In recent decades, the possibilities to perform measurements with individual molecules, cells and dynamic processes in organs have increased explodingly. Specialised experimental procedures should be tailored to a comparison between measurement results and simulation results for multiscale models. However, such methods are still difficult to perform and are rarely used.
Compare simulations and reality
For this reason, experimentally working researchers collect measurement data in order to construct predictive simulation models. They also conduct experiments evaluating simulation-based hypotheses.
Computer-based health care
In a futuristic health care scenario, a body scanner can be used to create a three-dimensional geometric model of a patient. It should serve as a guide for biomechanical examinations and the attending physician. Based on numerical simulations, such diagnoses or treatments should include virtual surgery preparations or an impact assessment.
Constant dripping wears away the stone
Although we focus on basic simulation methods, we also keep an eye on the clinical application. First, let's focus on well-defined application scenarios. These require the development of new coupling algorithms and modeling approaches. In a kind of toolbox, we provide these. In a second step, we then develop new methods to link the individual tools in the toolbox.
(Research fields B, C, D, E, F, G)