Abstract
A dynamic model of the immune response in poultry was developed in order to enhance antibody production. Efficient production of antibodies is very valuable for researchers and physicians since they are used for other molecules detection. Large amounts of poultry-based antibodies are found in birds' eggs. However, inoculation timetables are based on empirical data. A seven differential equation system represents cellular and molecular populations of the humoral immune response in poultry. Model parameters are presented and simulation results reflect the typical immune responses. Finally, a genetic algorithm was designed in order to optimize antibody production.
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