New Challenges for Cancer Systems Biomedicine

Nonfiction, Health & Well Being, Medical, Specialties, Oncology, Science & Nature, Mathematics, Applied
Cover of the book New Challenges for Cancer Systems Biomedicine by , Springer Milan
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Author: ISBN: 9788847025714
Publisher: Springer Milan Publication: January 25, 2013
Imprint: Springer Language: English
Author:
ISBN: 9788847025714
Publisher: Springer Milan
Publication: January 25, 2013
Imprint: Springer
Language: English

The future of oncology seems to lie in Molecular Medicine (MM). MM is a new science based on three pillars. Two of them are evident in its very name and are well known: medical science and molecular biology. However, there is a general unawareness that MM is firmly based on a third, and equally important, pillar: Systems Biomedicine. Currently, this term denotes multilevel, hierarchical models integrating key factors at the molecular, cellular, tissue, through phenotype levels, analyzed to reveal the global behavior of the biological process under consideration. It becomes increasingly evident that the tools to construct such complex models include, not only bioinformatics and modern applied statistics, as is unanimously agreed, but also other interdisciplinary fields of science, notably, Mathematical Oncology, Systems Biology and Theoretical Biophysics.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The future of oncology seems to lie in Molecular Medicine (MM). MM is a new science based on three pillars. Two of them are evident in its very name and are well known: medical science and molecular biology. However, there is a general unawareness that MM is firmly based on a third, and equally important, pillar: Systems Biomedicine. Currently, this term denotes multilevel, hierarchical models integrating key factors at the molecular, cellular, tissue, through phenotype levels, analyzed to reveal the global behavior of the biological process under consideration. It becomes increasingly evident that the tools to construct such complex models include, not only bioinformatics and modern applied statistics, as is unanimously agreed, but also other interdisciplinary fields of science, notably, Mathematical Oncology, Systems Biology and Theoretical Biophysics.

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