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Develop a mathematical model to predict the growth of tumors

 
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A research team from the University of Cordoba (UCO) and Seville (U.S.) has developed a new model for predicting the growth of tumors from their origin to the vascular phase, when you have already created an extensive network for nourish cancer cells. The results have been published in Journal of Computational Physics.

Two professors from the Department of Computing and Numerical Analysis University of Cordoba (UCO), Carmen Calzada and Mercedes Marin, have been developed with the collaboration of Enrique Fernández-Cara and Gema Camacho, University of Sevilla (U.S.), a method resolution of a mathematical model able to predict the evolution of a tumor in the avascular phase, when the only nutrients to tumor cells originate in adjacent tissues, “and in the vascular phase, when you have already created a network of capillaries that reach the tumor provides generous amounts of nutrients and making it grow rapidly.

The research team has solved the model using numerical techniques based on level set methods and fictitious domain, used successfully for time on other problems with different origin, such as sedimentation of particles in a fluid.

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Category: MathematicsTags: growth of tumors

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