Abstract
The aim of this contribution is to illustrate the impact of computer simulation in the field of biology and medicine. This paper shows how systems analysis, control theory and computer science can stimulate new approaches to interpret cancer, to predict tumor growth and to optimize tumor treatment.
Starting with a review of the current biological knowledge about the origin of cancer a computer model is constructed
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to simulate the time behaviour of disturbed cell growth control circuits
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to predict spatial tumor growth (2-D, 3-D) and
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to simulate different kinds of cancer treatment (surgery, radiation- and chemotherapy).
In the long run the aim of our work is to optimize treatment strategies and schedules in vitro and in vivo by computer simulation prior to clinical therapy.
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© 1989 Springer-Verlag
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Düchting, W. (1989). Computer models applied to cancer research. In: Blaquiére, A. (eds) Modeling and Control of Systems. Lecture Notes in Control and Information Sciences, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0041207
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DOI: https://doi.org/10.1007/BFb0041207
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