SKM 2023 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 57: Networks: From Topology to Dynamics IV (joint session DY/SOE)

DY 57.3: Vortrag

Freitag, 31. März 2023, 10:00–10:15, ZEU 250

Dynamic network modelling of tumor disease and sepsis — •Eckehard Schöll1,2,3, Jakub Sawicki1,2, Rico Berner1,4, Fenja Drauschke1, Moritz Alkofer1, Eckhardt Schneider5, and Thomas Löser51Institut für Theoretische Physik, TU Berlin — 2Potsdam Institute for Climate Impact Research — 3Bernstein Center for Computational Neuroscience Berlin — 4Institut für Physik, HU Berlin — 5Institut LOESER, Wettiner Straße 6, 04105 Leipzig

We introduce a novel functional model for tumor disease and sepsis within the framework of complex networks [1,2]. Both diseases are treated in a unified way centered on their effect on the innate immune system. We propose an adaptively coupled two-layer network model of phase oscillators based upon the interaction of parenchymal cells (organ tissue) and immune cells, respectively, and the co-evolutionary dynamics of parenchymal, immune cells, and cytokines. The interaction and information exchange via cytokines between the cells of the parenchyma and the innate immune system is modeled by adaptive coupling weights. The emergent complex collective dynamics is represented with a few fundamental control parameters. Concepts and methods of nonlinear dynamical systems and networks theory, such as partial synchronization and clustering, as well as numerical and statistical methods are applied to describe physiological and pathological states. [1] Sawicki, J., Berner, R., Löser, T., and Schöll, E., Front. Netw. Physiol. 1, 730385 (2022). [2] Berner, R., Sawicki, J., Thiele, M., Löser, T. and Schöll, E., Front. Netw. Physiol. 2, 904480 (2022).

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