Systems Biology Methodologies for the Understanding of Common Oncogenetic Mechanisms in Childhood Leukemic and Rhabdomyosarcoma Cells

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Author(s): George I. Lambrou (University of Athens, Greece), Maria Adamaki (University of Athens, Greece), Eleftheria Koultouki (University of Athens, Greece)and Maria Moschovi (University of Athens, Greece)
Copyright: 2012
Pages: 58
Source title: Quality Assurance in Healthcare Service Delivery, Nursing and Personalized Medicine: Technologies and Processes
Source Author(s)/Editor(s): Athina Lazakidou (University of Peloponnese, Greece)and Andriani Daskalaki (Max Planck Institute for Molecular Genetics, Germany)
DOI: 10.4018/978-1-61350-120-7.ch007

Keywords: Health Information Systems / Medical Information Science Reference / Medicine & Healthcare

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Abstract

Therefore, let us imagine a best case scenario where oncogenesis is understood, at least in part, and drug design, effectiveness, and side effects could be resolved by simply modeling the system. This would dramatically reduce drug costs, with positive consequences not only for treatment, but also on the social level. Drugs would become much more affordable, hence curing and improving the lives of more people. This hypothetical, best-case scenario should point scientists to move towards the direction of attempting to make scientific endeavors for the social benefit. Systems biology is a discipline that does indeed move towards that direction. Of course, as most things in life, the use of systems biology could be used in a dual manner, that is, for social benefit or profit.

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Systems Biology Methodologies for the Understanding of Common Oncogenetic Mechanisms in Childhood Leukemic and Rhabdomyosarcoma Cells

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