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  Predictive medicine by cytomics: potential and challenges

Valet, G. (2002). Predictive medicine by cytomics: potential and challenges. Journal of Biological Regulators and Homeostatic Agents, 16(2), 164-167.

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Genre: Journal Article
Alternative Title : J. Biol. Regul. Homeost. Agents

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 Creators:
Valet, G.1, Author              
Affiliations:
1Former Research Groups, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565145              

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Free keywords: predictive medicine; clinical cytomics; cytome; medical bioinformatics; data pattern classification; data sieving; data mining
 Abstract: Predictive medicine by cytomics represents a new concept which provides disease course predictions for individual patients. The predictive information is derived from the molecular cell phenotypes as they are determined by patient's genotype and exposure to external or internal influences. The predictions are dynamic because they are therapy dependent. They may provide a therapeutic lead time for preventive therapy or for the diminution of disease associated irreversible tissue damage. Multiparametric data from cytometry, multiple clinical chemistry assays, chip or bead arrays serve as input for an algorithmic data sieving procedure (http://www.biochem.mpg.de/valet/classif1.html). Data sieving enriches the discriminatory parameters in form of standardized data masks for predictive or diagnostic disease classification in the individual patient (http://www.biochem.mpg.de/valet/cellclas.html). Besides predictive and diagnostic utility, the data patterns can be used in a bottom-tip approach for the development of scientific hypotheses on disease inducing mechanisms in complex inflammatory, infectious, allergic, malignant or degenerative diseases.

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Language(s): eng - English
 Dates: 2002-04
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 41731
ISI: 000176872300014
 Degree: -

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Title: Journal of Biological Regulators and Homeostatic Agents
  Alternative Title : J. Biol. Regul. Homeost. Agents
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 16 (2) Sequence Number: - Start / End Page: 164 - 167 Identifier: ISSN: 0393-974X