A Computational Framework in Modeling Cellular Communication in Sepsis


The paper proposes a model that relieves the characteristics of the patient evolution in SEPSIS as the result of correct or corrupted information transfer as the cell level, using for this aim methods which are specific for studying complex systems: nonlinear dynamics, statistical methods, data transmission and network theory. We place particular emphasis… (More)


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