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Computational Hematology in Systems Biology

  • Conference paper
Cellular Automata (ACRI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5191))

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Abstract

One of the key issues in hematology is how blood cell production is conducted and sturdily maintained under physiological and pathological conditions. Due to the difficulty in manipulating hematopoietic stem cells in vitro, control of hematopoietic processes remains unclear. Models are required for easy access and are highly expected to show not only reproduction of blood cell behaviors in vivo, but also predictability of specific cellular responses under experimental stimulations. We demonstrate herein a granulopoietic model using a 3-dimensional cellular automaton (3D-CA) model. This model incorporates a spatio-temporal concept to describe granulopoiesis that develops in the finite space of the bone marrow cavity. This 3D-CA model is valuable in clinical simulation studies such as determination of a granulocyte growth factor administration for cancer patients with neutropenia. Analyzing the cellular kinetics of hematopoiesis by 3D-CA modeling will provide novel strategies for cancer treatment.

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Hiroshi Umeo Shin Morishita Katsuhiro Nishinari Toshihiko Komatsuzaki Stefania Bandini

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© 2008 Springer-Verlag Berlin Heidelberg

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Horisawa, T., Komatsuzaki, T., Saikawa, Y. (2008). Computational Hematology in Systems Biology. In: Umeo, H., Morishita, S., Nishinari, K., Komatsuzaki, T., Bandini, S. (eds) Cellular Automata. ACRI 2008. Lecture Notes in Computer Science, vol 5191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79992-4_63

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  • DOI: https://doi.org/10.1007/978-3-540-79992-4_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79991-7

  • Online ISBN: 978-3-540-79992-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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