Understanding and modelling the complexity of the immune system

The immune system is a complex biological micro-ecosystem, adaptive, highly diversified, self-organized and degenerative cognitive network of cells and molecular entities. The adaptive immune system has evolved into a complex system of billions of highly diversified lymphocytes all interacting as a connective dynamic multi-scale organised and distributed system, in order to collectively insure body identity and integrity. This insures species preservation of symbiotic and poly-genomic organisms. The immune system is characterized by complexity at different levels: network organisation during the development, through fluid cell populations with inter- and intra-cell signalling, an extraordinary lymphocyte receptor diversity, lymphocyte clonotype selection and competition at cell level, migration and interaction inside the immunological tissues and fluid dissemination through the organism, homeostatic regulation, while rapid adaptation to a changing environment. Lymphocytes are the key actors of the immune system of vertebrates, in the middle of a multi-scale biological organization “from molecule to organism”, and at the confluence with other different biological systems and the environment. The perception of antigens induces a network of immuno-receptors that could be viewed as an internal representation of antigens. Fluctuations, variability and diversity are key factor for the immune system to adapt perturbations and aging and to be or not resilient. Theoretical approaches of this complex system and multi-scale dynamic modeling are a challenge in the domain of complex systems. Theoretical, mathematics and computer models developed to improve our understanding of the multi-scale complexity of the immune system will be addressed in this session.