A comprehensive survey on various mathematical modeling techniques used for tumor dynamics

The paper discusses the significance of mathematical modeling in understanding tumor growth and treatment resistance. It highlights the challenges in estimating tumor size and resistance, emphasizing the role of mathematical models in quantifying tumor dynamics. Various modeling strategies are reviewed, with a focus on their formulations and operational functions. The study also compares different approaches to identify the most effective model for tumor dynamics and resistance. Additionally, it explores the use of fuzzy modeling to analyze multiple factors affecting tumor growth in biological, genetic, and ecological contexts.

کلیدواژه ها:

Mathematical Modeling ، Tumor Dynamics ، Fuzzy differential equations ، Basic Growth Models ، Drug resistance ، Prediction models