Publications by authors named "Sarah Rahbar"
Article Synopsis
- The study introduces an agent-based model (ABM) that simulates the interactions between melanoma tumor cells and the immune system, focusing on myeloid-derived suppressor cells (MDSCs) and dendritic cells (DCs).
- Researchers conducted experiments on 68 mice with melanoma, dividing them into four treatment groups to analyze tumor growth and immune response.
- The ABM successfully mimicked the interactions between tumor and immune cell components, suggesting it can be a valuable tool for exploring combination therapy effects and understanding key moments in tumor progression.
Background: To predict the behavior of biological systems, mathematical models of biological systems have been shown to be useful. In particular, mathematical models of tumor-immune system interactions have demonstrated promising results in prediction of different behaviors of tumor against the immune system.
Methods: This study aimed at the introduction of a new model of tumor-immune system interaction, which includes tumor and immune cells as well as myeloid-derived suppressor cells (MDSCs).