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Titlebook: Systems Medicine; Ulf Schmitz,Olaf Wolkenhauer Book 2016 Springer Science+Business Media New York 2016 bioinformatic.chronic pulmonary di

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978-1-4939-8011-6Springer Science+Business Media New York 2016
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Systems Medicine978-1-4939-3283-2Series ISSN 1064-3745 Series E-ISSN 1940-6029
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https://doi.org/10.1007/978-1-4939-3283-2bioinformatic; chronic pulmonary disease; human metabolism; immune-related diseases; lung diseases; neur
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Taking Bioinformatics to Systems Medicinend discuss how gene networks can be constructed from omics data and how these networks can be decomposed into smaller modules. We discuss how the resulting modules can be used to generate experimentally testable hypotheses, provide insight into disease mechanisms, and lead to predictive models. Thro
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Next-Generation Pathologyse to therapy regimens from a static tissue sample. Next-generation pathology will incorporate big data with systems medicine in order to personalize clinical practice for both prognostic and predictive patient care.
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Training in Systems Approaches for the Next Generation of Life Scientists and Medical Doctorsion to the classical medical education, which is traditionally good and highly respected in European countries, we must find ways on how to introduce into the medical curricula mathematical and big data aspects and insights. Only a global (systems) view on physiology and pathophysiology can break th
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