Engineering for Health and Wellbeing Group

Tissue Eng.

Mathematical models of physiological systems are useful for representing knowledge and/or hypotheses about the operation of biological functions, allowing simulation of expected behavior under different experimental conditions that can be compared and matched against experimental data. The models provide thus a means to validate and formulate hypotheses and to characterize normal and pathological conditions. This research investigates practical as well as methodological aspects of physiological modeling.

Practical applications

Modeling studies at the levels of whole organisms (animal and man), organs or cells:

  • Metabolism and kinetics of endogenous substances, e.g. carbohydrates and fats
  • Kinetics and effects of drugs and other exogenous substances
  • Organ function tests, e.g. liver, kidnyes
  • Renal replacement therapies
  • Cardiovascular autonomic function

Methodological research and expertise

General aspects of modeling, simulation and identification of physiological systems:

  • Software tools for system representation with automated symbolic generation of model equations
  • Parameter estimation with hierarchical population models
  • Sensitivity analysis
  • Identification of complex models
  • Optimal experiment design