About this Research Topic
Uncovering mechanisms regulating immune system responses is key to strengthening and redirecting them whenever necessary in cancer and infections as well as understanding autoimmune diseases. However, research in this area is hampered by heterogeneity at the cellular and physiological levels, making analysis of experimental and clinical data extremely difficult. Black-box models employed by artificial intelligence, while very helpful in data analysis, do not provide explanations about these mechanisms and their dynamics. On the other hand, mathematical models of dynamics of intercellular interactions and intracellular processes provide means to build up and preliminary test hypotheses about regulatory network structure and dynamics at any chosen level. Moreover, they facilitate simulation-based studies of potential treatment protocols, thus accelerating advances in clinical practice.
This Research Topic focuses on mathematical modeling applied to understand, uncover, and utilize mechanisms involved in immune system responses at intracellular, tissue and physiological levels. We look forward to novel models supported by experimental and clinical data and bringing biologically or clinically relevant conclusions. The Topic’s goal is to advance knowledge in this area, to be utilized in new development of new molecular targets for future drugs and new therapy protocols. Through presenting original conclusions stemming from mathematical analyses, it should promote interdisciplinary research, linking molecular biologists, clinicians and modelers, showing benefits of mathematical support in clinically-oriented research.
We welcome researchers to submit Perspectives, Original Research articles and Reviews, focusing on development and analysis of mathematical models related to immune system dynamics, including but not limited to the following subtopics:
• Intracellular signaling pathways and regulatory networks associated with immune responses.
• Cellular responses to viral infections.
• Mechanisms of evading immune response by cancer cells.
• Intercellular interactions associated with immune system response.
• Model-based design of immunotherapy protocols.
• Autoimmune diseases dynamics and treatment.
Please NOTE: Manuscripts are required to go beyond showing their alignment with existing data and present analyses that advance knowledge in the area.
This Research Topic focuses on mathematical modeling applied to understand, uncover, and utilize mechanisms involved in immune system responses at intracellular, tissue and physiological levels. We look forward to novel models supported by experimental and clinical data and bringing biologically or clinically relevant conclusions. The Topic’s goal is to advance knowledge in this area, to be utilized in new development of new molecular targets for future drugs and new therapy protocols. Through presenting original conclusions stemming from mathematical analyses, it should promote interdisciplinary research, linking molecular biologists, clinicians and modelers, showing benefits of mathematical support in clinically-oriented research.
We welcome researchers to submit Perspectives, Original Research articles and Reviews, focusing on development and analysis of mathematical models related to immune system dynamics, including but not limited to the following subtopics:
• Intracellular signaling pathways and regulatory networks associated with immune responses.
• Cellular responses to viral infections.
• Mechanisms of evading immune response by cancer cells.
• Intercellular interactions associated with immune system response.
• Model-based design of immunotherapy protocols.
• Autoimmune diseases dynamics and treatment.
Please NOTE: Manuscripts are required to go beyond showing their alignment with existing data and present analyses that advance knowledge in the area.
Keywords: Mathematical Model, Dynamics, Immune System, Signaling Pathways, Immunotherapy, Autoimmune Disease, Viral Immunology, Systems Immunology
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
