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    Hybrid multiscale modeling and prediction of cancer cell behavior

    , Article PLoS ONE ; Volume 12, Issue 8 , 2017 ; 19326203 (ISSN) Zangooei, M. H ; Habibi, J ; Sharif University of Technology
    Public Library of Science  2017
    Abstract
    Background: Understanding cancer development crossing several spatial-temporal scales is of great practical significance to better understand and treat cancers. It is difficult to tackle this challenge with pure biological means. Moreover, hybrid modeling techniques have been proposed that combine the advantages of the continuum and the discrete methods to model multiscale problems. Methods: In light of these problems, we have proposed a new hybrid vascular model to facilitate the multiscale modeling and simulation of cancer development with respect to the agent-based, cellular automata and machine learning methods. The purpose of this simulation is to create a dataset that can be used for...