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We employed computational fluid dynamic modeling tools to investigate the influence of luminal flow patterns on arterial drug deposition and distribution.
However, it may be difficult to implement continuous relative risk functions using existing dynamic modeling tools if baseline exposure information is difficult to characterize as continuous distributions or if continuous dose-response information is available only for certain health outcomes.
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Beyond the use of pharmacokinetic and pharmacodynamic approaches, we propose here the use of dynamic modeling as a tool for describing and analyzing the structure and responses of signaling, genetic and metabolic networks involved in such diseases.
The STELLA software allowed for the development of a dynamic modeling system using four main tools: (1) Stocks, a variable which accumulates and stores values.
This type of trade-off is evident only through using technology-specific dynamic modeling, such as the model presented here.
This chapter outlines various tools from the fields of thermodynamics, kinetics and optimization that are useful in dynamic modeling and optimal control of chemical and electrochemical reactors, particularly fuel cells.
Different hysteresis models were tested to find out the best-fitted one for dynamic modeling purpose.
Multiscale modeling tools for structural biology.
Modeling tools can help in both aspects.
Predictive modeling tools [19] are summarized in Table 5.
The need for advanced modeling tools is increasing.
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