Date of Award:
12-2017
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Computer Science
Committee Chair(s)
Nicholas S. Flann
Committee
Nicholas S. Flann
Committee
Vicki Allan
Committee
Vladimir Kulyukin
Abstract
Efficiency of current cell cultures producing biological products is limited due to accumulation of the product and waste on the cells. A previous work aims at assisting bioengineers in solving this problem by introducing a new set of cells which possess the ability to connect to one another and thus form a network. Once created, the network of cells can help the initial cellules by removing their waste and product as well as nourishing them. Our project explores a technique to be able to create the best network of such cells; hence maximizing the amount of metabolic product in the cell culture.
Checksum
4e5bc53d4bce268286cfce67756d9613
Recommended Citation
Kochaki, Sima Mehri, "Optimizing Bioengineered Vascular Systems: A Genetic Algorithm Approach" (2017). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 6693.
https://digitalcommons.usu.edu/etd/6693
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