Systems Approaches in Immunology: 4th meeting
Abstract
Major Goals: In the last several decades, immunology has grown from a science of antibodies to a whole field of research dealing with molecular, cellular, population and organismal details of immunological processes in mammals. Our understanding of how immune systems controls growth of infectious diseases has increasing dramatically due to the development of techniques of molecular biology and in vivo imaging of T and B cell responses; these new techniques have led to generation of vast amounts of data and there is a rapidly increasing number of studies applying methods of mathematical modeling aimed at analysis these data and deeper understanding of immunological processes. However, most of the experimental and theoretical work has focused on questions generally relating only one level of organization, for example, on understanding signal processing in cells or on the population dynamics of T cell responses to viruses. Further understanding of immunology will be advanced by the development of theoretical and experimental techniques and novel mathematical models that bring together phenomena at different levels of complexity and study mechanisms arising at the systems level. This meeting will bring together scientists involved in studying immunological processes at cellular, population, and organismal level, both experimentally and theoretically, with an idea to discuss ways to combine data and analyses of these different levels of complexity to form the basis of systems immunology. We plan to involve scientists with expertise in the area of experimental immunology and those with expertise in mathematical modelling in immunology.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 06, 2018
- Accession Number
- AD1066632
Entities
People
- Vitaly Ganusov
Organizations
- University of Tennessee