State of the Art in Computational Modeling of Cancer Immunotherapy
A special issue of Cells (ISSN 2073-4409). This special issue belongs to the section "Cellular Immunology".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 362
Special Issue Editor
Interests: systems biology of tumor microenvironment; in silico modeling of extracellular matrices; interstitial transport; tissue metabolic landscape
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cancer immunotherapies have gained much deserved interest in recent years with the development of personalized treatments utilizing tumor-infiltrating lymphocytes (TILs), CAR T cells, and adoptive cell therapy protocols. However, there is still need for improvements in the immune treatment properties, scheduling, or design of combination therapies that can overcome current treatment limitations. Mathematical and computational models can provide a tool for analyzing experimental and clinical data; developing new hypotheses; identifying mechanisms of interactions between tumor, immune, and stromal cells; testing schedules of immunotherapies combined with other treatments; and stratifying responses to immunotherapies. In this Special Issue, we welcome contributions that highlight the status of the computational and mathematical modeling of cancer immunotherapies, and both data-driven and theory-based approaches that address various aspects of cancer immunotherapy will be considered.
Dr. Katarzyna A. Rejniak
Guest Editor
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Keywords
- oncoimmunology
- modeling immune–tumor interactions
- modeling combination immunotherapies
- modeling adoptive cell therapies
- mathematical modeling
- data-driven models
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