Section “Mathematical immunology and epidemiology”

The immune system is one of the most complex, nonlinear and adaptive systems in the human body, on the effectiveness of which the course and outcome of many socially significant diseases depend (chronic infections, inflammatory processes, sepsis, autoimmune and oncological diseases). The nature of the immune reactions of the human body is determined by many factors and can change during the development of pathological processes. Modern development of immunology and epidemiology requires domain-oriented development of methods and technologies of computer modeling for building mathematical and digital models:

1. the immune system of humans and animals,
2. population characteristics of the immunophysiological status and health under conditions of continuous exposure to diverse environmental factors of physical, chemical and biological nature, and
3. multi-scale integration of models for a systems description, analysis and prediction of immune-dependent and immune-mediated diseases, development of vaccines and combined methods of their treatment. The content of the multidisciplinary section will be related to consideration of a wide range of methods and models for analysis of complex systems in immunology and epidemiology, including algorithms of bioinformatics, machine learning, network description of structures and causal relationships, as well as development of mechanistic mathematical and computer models of pathological processes, clinically significant applied studies using the proposed models.