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Modelling and Simulation of Melanoma Cancer, Based on Cellular Automata Approaches

Rad, Jaber | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48012 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Habibi, Jafar
  7. Abstract:
  8. Nowadays, M&S is critical as a powerful tool for human to fight against cancer. Skin cancer is one of the most widespread cancers and melanoma would be the most dangerous kind of it. In cancerous micro-environment, cancer cells interact with vasculature, and compete with normal cells over nutrients. This plays a major role in tumor progression pattern and speed. In recent years, a few multiscale models have been developed considering these phenomena. Such a model provides a platform for future researches, especially in drug effects prediction. A reliable simulation must satisfy the constraints and facts in the real world as much as possible. M&S credibility assessment is a major concern to scientists in modelling area. In this research, we have developed a mechanistic-analytical model, and the 3D simulation in microscopic, mesoscopic and macroscopic scales, that represents the interactions between cancerous, endothelial and normal cells. We have applied a nonhomogeneous, probabilistic, mobile particle cellular automata as the main modelling approach, and have gained the advantages of agent-based modelling method. Diffusion of the substances in tissue has been simulated using reaction-diffusion equation and finite difference method. We have compared simulation results with in vitro data and utilized the STD-7009 framework to evaluate our M&S
  9. Keywords:
  10. Cellular Automata ; Multiscale Modeling ; Agent Based Modeling ; Melanoma Cancer ; Cancer Modeling ; Cancer Simulation

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