Hierarchical mixed effects modelling of dynamical systems
Main objectives Biological dynamic systems are heterogeneous and hierarchal. Individual cells may respond or behave differently as do individual human subjects. Studying population averages therefore does not provide information on individual behaviour, neither does the study of individuals provide sufficient information about specific group behaviour such as common disease mechanisms. Our aim is to develop models that not only capture heterogeneity but also harness the benefits of variation when identifying model parameters. Condensed work plan We will study three applications in medicine and biology; Proliferation and migration dynamics in brain tumour cells; Human lipid metabolism in metabolic diseases; Regulation of glucose metabolism in yeast. Three research aims which are applicable to each of the applications have been identified: mixed effects modelling of dynamical systems, extension of homogenisation techniques and inclusion of uncertainties using stochastic differential equations. The fourth aim is to implement the developed methods into a demonstrator software, used for solving typical problems that arise in the applications. Expected results The selected applications provide a range of data and models which guarantees that the developed methods are broadly applicable. However, the selection of real research applications, in which the consortium members and close collaborators are already world leading, guarantees a fast translation of results into practice.
- Fraunhofer-Chalmers Centre (Research Institute, Sweden)
- Sahlgrenska University Hospital (Public, Sweden)
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Professor, head of department, Mathematical Sciences
My research mainly concerns interacting many particle systems. These systems may be gases or large flocks of animals, but the mathematical questions are always in focus. I work in collaboration with...
Assistant Professor, Mathematical Sciences
My main research interest is mathematical biology, in particular cancer modelling. I am also interested in mathematical aspects of evolution and ecology, such as the evolution of bacterial consortia...
Professor, Mathematical Sciences
Interested in medtech and biomathematics in general, and evolutionary processes in particular such as artificial life, evo-devo, speciation, game theory; but also in questions on morphogenesis and...
Martin Adiels (SA, medsökande)
Joachim Almqvist (FCC)
Mats Jirstrand (FCC, medsökande)
Viktor Nilsson (FCC)
- Swedish Foundation for Strategic Research (SSF) (Non Profit, Sweden)