کنگره بین المللی پیشگیری از سرطان

صفحه اصلی / دومین کنگره بین المللی پیشگیری از سرطان

Bridging Dimensions: From Mechanistic ODEs to Agent-Based Systems in Modeling Cancer Dynamics

نویسندگان :

Elahe Ghiyabi¹ Sajjad Mortazavi² Kosar Tanhaei³

1- دانشگاه تبریز 2- دانشگاه تبریز 3- دانشگاه شاهد تهران

کلمات کلیدی :

Cancer Dynamics،Agent-Based Model (ABM)،Multi-scale Modeling،Computational Oncology

چکیده :

Mathematical modeling has matured into an essential pillar of oncology, offering powerful in silico laboratories to dissect the complexities of carcinogenesis and, crucially, to design and test intervention strategies. This paper provides a comprehensive exploration of the mathematical formalisms used in cancer dynamics, with a particular focus on literature published since 2022. We systematically review a wide spectrum of models, including deterministic and stochastic ordinary differential equations (ODEs), continuum models based on partial differential equations (PDEs), discrete approaches such as cellular automata and network models, and sophisticated individual-based systems like agent-based models (ABMs). We analyze how each paradigm can be applied to simulate critical strategies in cancer dynamics, from optimizing chemopreventive drug regimens to modeling the impact of dietary interventions on cellular signaling networks. The challenges of model parameterization, validation, and the increasing synergy with artificial intelligence are discussed in detail. We posit that the future of effective, personalized cancer modeling lies not in a single "best" model, but in the strategic development and integration of validated, AI-driven hybrid models that can create high-fidelity "digital twins" to forecast individual cancer risk and response to intervention.