Simulation and Modeling in Medicine and Biology

First chair
Prof. Witold Jacak

Polytechnic University of Upper Austria, Hagenberg, Austria

Witold [dot] Jacak [at] fhs-hagenberg [dot] ac [dot] at
Second Chair
Prof. Werner Backfrieder

Polytechnic University of Upper Austria, Hagenberg, Austria

Werner [dot] Backfrieder [at] fh-hagenberg [dot] at

During the last decades research in life sciences has opened our eyes to a broad range of complex problems. In light of this classical methods of engineering and natural sciences are starting to reach their limits. With the increase of computational power, simulation methods possess a high potential to elucidate the mechanisms in these new realms of medicine and biology, and establish new models for the control and prognosis of biomedical systems.

This track aims to bring together scientists from engineering and natural and life sciences to stimulate discussion on new methods and topics in the field of complex biomedical systems. It shall not only provide a forum for presentation of novel approaches and methods of advanced simulation for both modelling and analysis but also provide meaningful results and applications. We welcome high-quality, original scientific contributions and will consider them for publication.

Topic List: 
  • Modelling and simulation in bio-systems, physiology, cardiology, anaesthesia, cancer, circulatory system, respiratory system, renal system, biomechanics;
  • Simulation in genetics and system biology;
  • Simulation of patient care;
  • Simulation of disease proliferation;
  • Virtual reality in surgical procedures;
  • Model based information processing in medical images
  • Advanced methods in model based image processing, reconstruction, segmentation, and registration
  • Simulating biological phenomena and organs;
  • Simulation in the context of diagnostics;
  • Simulation of emergency procedures (disaster gaming);
  • Disease management;
  • Pharmacometric modelling;
  • Healthcare networks;
  • Modelling of clinical environments;
  • Clinical information flows;
  • Physiological simulations;
  • Drug inventory management.