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Quantitative in silico modeling is a powerful means to enhance our understanding of complex biological systems. Accordingly, intuitive and flexible computational tools are needed to support the development of such models. We previously developed the platform EPISIM for graphical modeling and simulation of cellular behavior in epithelia. In this work we demonstrate how computationally efficient software...
A three-dimensional anatomically and electro-physiologically realistic model of atrial propagation is developed utilizing generic cardiac ionic models fitted to experimentally recorded action potentials (APs). The atrial geometry incorporated realistic wall thickness and twelve anatomical structures, including the sino-atrial node (SAN), pulmonary veins, interatrial septum, Bachmann's bundle and coronary...
Mathematical modeling and simulation of cellular systems are important processes in modern life science, to understand the behavior of life as a system. Kinetic model of a biochemical pathways is described as an ordinary differential system, consists of a variety of equations to represent velocity of corresponding chemical reactions. This paper describes a modular and automated approach to synthesize...
In order to understand the function of biological elements and their interactions, computer analysis and simulation is an essential technique. For higher research efficiency, it is important to provide a system framework for constructing biological simulation systems that handle multiple phenomena. This paper proposes "DynaBioS", a comprehensive system framework for complex biological simulations...
We build a population dynamics model of the competition among immune system cells and a generic tumor cells. Then, we apply the theory of optimal control to find the optimal schedule of injection of autologous dendritic cells used as immunotherapeutic agent.
This work studies the characteristics of excitable cell mathematical models, with the goal of developing new insights and techniques in simulating the electrical behavior of the human heart. While very simple models of such behavior can be simulated at real-time or better speeds on powerful computing equipment, the use of realistic cell models or organ-magnitude cell networks make the simulations...
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