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  Future of Medicine: Models in Predictive Diagnostics and Personalized Medicine

Regierer, B., Zazzu, V., Sudbrak, R., Kühn, A., & Lehrach, H. (2013). Future of Medicine: Models in Predictive Diagnostics and Personalized Medicine. In H. Seitz, & S. Schuhmacher (Eds.), Advances in Biochemical Engineering/Biotechnology (pp. 15-33). Berlin Heidelberg: Springer.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0018-F98E-1 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0018-F990-A
Genre: Book Chapter

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2013
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Springer-Verlag Berlin Heidelberg 2013
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 Creators:
Regierer, B., Author
Zazzu, V.1, Author              
Sudbrak, R.1, Author              
Kühn, A., Author
Lehrach, H.1, Author              
Affiliations:
1Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433550              

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Free keywords: distributed computing health care revolution high-throughput data analysis nonlinear information and communication technology personalized medicine predictive model systems medicine virtual human systems biology health-care molecular-biology cancer-treatment standards technology microbiome hallmarks networks genomics
 Abstract: Molecular medicine is undergoing fundamental changes driving the whole area towards a revolution in modern medicine. The breakthrough was generated the fast-developing technologies in molecular biology since the first draft sequence of the human genome was published. The technological advances enabled the analysis of biological samples from cells and organs to whole organisms in a depth that was not possible before. These technologies are increasingly implemented in the medical and health care system to study diseases and refine diagnostics. As a consequence, the understanding of diseases and the health status of an individual patient is now based on an enormous amount of data that can only be interpreted in the context of the body as a whole. Systems biology as a new field in the life sciences develops new approaches for data integration and interpretation. Systems medicine as a specialized aspect of systems biology combines in an interdisciplinary approach all expertise necessary to decipher the human body in all its complexity. This created new challenges in the area of information and communication technologies to provide the infrastructure and technology needed to cope with the data flood that will accompany the next generation of medicine. The new initiative 'IT Future of Medicine' aims at driving this development even further and integrates not only molecular data (especially genomic information), but also anatomical, physiological, environmental, and lifestyle data in a predictive model approach-the 'virtual patient'-that will allow the clinician or the general practitioner to predict and anticipate the optimal treatment for the individual patient. The application of the virtual patient model will allow truly personalized medicine.

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Language(s): eng - English
 Dates: 2013
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: Other: WOS:000322510600003
DOI: Doi 10.1007/10_2012_176
ISSN: 0724-6145
URI: ://WOS:000322510600003http://download.springer.com/static/pdf/765/chp%253A10.1007%252F10_2012_176.pdf?auth66=1396710122_830d3a9851717cd52e192437fa008cfa&ext=.pdf
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Title: Advances in Biochemical Engineering/Biotechnology
  Subtitle : Molecular Diagnostics
Source Genre: Series
 Creator(s):
Seitz, H.1, Editor            
Schuhmacher, S., Editor
Affiliations:
1 Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433550            
Publ. Info: Berlin Heidelberg : Springer
Pages: 18 Volume / Issue: 133 Sequence Number: - Start / End Page: 15 - 33 Identifier: ISBN: 978-3-642-37690-0