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Mechanical properties of cancer cells as potential predictive biomarkers

Authors :

Sayed Reza Ramezani¹ Afsaneh Mojra²

1- Assistant Professor, Biomedical Engineering Group, Faculty of Electrical Engineering, K. N. Toosi University of Technology 2- Assistant Professor, Biomedical Engineering Group, Faculty of Electrical Engineering, K. N. Toosi University of Technology

Keywords :

Cell Migrating Assay،KVFD Model،Cytoskeleton،Mechanical parameters in cells

Abstract :

Cancer, as one of the most complex and multifactorial diseases, remains a major challenge in modern medicine. Progress in therapeutic approaches requires a deeper understanding of cellular behavior and the influence of various factors on cell dynamics. In this context, the mechanical properties of the cellular microenvironment play a critical role in identifying the behavioral patterns of cancer cells and in designing novel therapeutic strategies. The findings of this study demonstrate a strong correlation between biological responses, cellular mechanical behavior, and the predictions obtained through mathematical modeling using the Kelvin–Voigt Fractional Derivative model. This correlation highlights the potential of employing mathematical models based on mechanical parameters to predict the outcomes of biological tests before their actual implementation. Furthermore, such modeling approaches allow the estimation of anticancer drug efficacy on cells in advance of experimental validation. Consequently, integrating mechanical insights with mathematical modeling can significantly reduce the cost and time associated with biological testing while improving the accuracy of designing targeted therapies. These results underline the importance of interdisciplinary strategies that combine biology and engineering, opening new horizons for the development of personalized cancer

Papers List

List of archived papers

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Mahdi Alipoor - Masoud Yousefi - Farzam Farahmand

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