Speakers
Description
The mathematical models of cancer onset and progression increasingly reflect the emerging view of tumors and the cancer-immune system as complex ecosystems. In combination with empirical evidence and statistical approaches, mathematical models of ecological and eco-evolutionary dynamics of cancer have gained increased importance for both theorists and experimentalists.
This minisymposium focuses on mathematical and computational models of cell population dynamics and systems biology in cancer and tumor systems, and on the resulting complex dynamical systems. These approaches encompass tumor-immune interactions, immunotherapy systems, and cancer ecological processes. The four speakers in this session will present recent advances in mathematical modeling and integrative theory-data modeling, ranging from differential equation models and statistical inference to agent-based and stochastic frameworks. These frameworks aim to deepen our understanding of phenomena in cancer evolution, ecology, and immunotherapy. Topics include immune activation and exhaustion, tumor microenvironment ecology, treatment scheduling and optimization respecting complex interactions, and the integration of experimental or clinical data with theoretical models.
