DocumentCode :
2074669
Title :
Fister-Panetta Upper Bound for Cancer Growth. Some Computational Remarks
Author :
Bocu, Razvan ; Tabirca, Sabin ; Chen, Yin Jie
Author_Institution :
Univ. Coll. Cork, Cork
fYear :
2008
fDate :
June 29 2008-July 5 2008
Firstpage :
17
Lastpage :
22
Abstract :
Contemporary people live in a society featured by a continuously increasing complexity. As a consequence, interdisciplinary approaches represent a must for every scientist that aims to efficiently manage a certain problem. Cancer evolution and the associated proper medication strategy is an example of such a complex problem that requires an interdisciplinary approach in order to be properly addressed. The first section addresses some basic aspects regarding how cancer research could benefit from the cooperation between mathematics and biology. The second section of the paper discusses about the cancer modelling at a very basic level and describes a drug medication optimization pattern based on the very well-known model of Fister and Panetta, which is modified in order to increase its readability and predictive capacity.
Keywords :
cancer; differential equations; drugs; modelling; Fister-Panetta cancer growth upper bound; Fister-Panetta model predictive capacity; Fister-Panetta model readability; biology; cancer evolution; cancer medication strategy; cancer modelling; cancer research; drug medication optimization pattern; mathematics; Biological system modeling; Cancer; Cells (biology); Drugs; Educational institutions; Evolution (biology); Mathematical model; Medical treatment; Predictive models; Upper bound; Fister-Panetta upper bound; cancer modeling; cancer visualization; drug administration optimization pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biocomputation, Bioinformatics, and Biomedical Technologies, 2008. BIOTECHNO '08. International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-0-7695-3191-5
Electronic_ISBN :
978-0-7695-3191-5
Type :
conf
DOI :
10.1109/BIOTECHNO.2008.7
Filename :
4561128
Link To Document :
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