Pressure flow dynamics in cellular automata based nephron network model

Developing a whole kidney model is important for effective diagnostic procedures and treating diseases. The modeling of multi-nephron network aids in developing the model. key aspect any nephron understanding pressure dynamics. governing equations dynamics depend on number nephrons their interactions. There are mathematical models to analyze local global behaviors single coupled nephrons. It difficult formulate This necessitates development simulation models. Even have only been developed 72 complexity involved incorporating both In this paper, cellular automata (CA) framework has proposed study behavior advantage CA its scalability ability capture without formulating corresponding equations. limitation inability compare point-to-point behavior. But clinical findings suggest that gives significant information about kidney. We rules 8-nephron, 16-nephron, 72-nephron 100-nephron considering rigid compliance tubules. with various initialization schemes produce different evolutionary patterns similar emergent dynamical obtained from experimental numerical findings. Evolutionary related normotensive hypertensive in-phase out-of-phase synchronizations also observed patterns. irregular rhythm cardiovascular system may give rise shock waves framework.