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Cited by 175

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Metabolomics-Based Systems Biology and Personalized Medicine: Moving Towards n = 1 Clinical Trials?

van der Greef, Jan, Hankemeier, Thomas, McBurney, Robert N·2006·Pharmacogenomics

Abstract

Personalized medicine - defined as customized medical care for each patient's unique condition - in the broader context of personalized health, will make significant strides forward when a systems approach is implemented to achieve the ultimate in disease phenotyping and to create novel therapeutics that address system-wide molecular perturbations caused by disease processes. Combination drug therapies with individualized optimization are likely to become a major focus. Metabolomics incorporates the most advanced approaches to molecular phenotype system readout and provides the ideal theranostic technology platform for the discovery of biomarker patterns associated with healthy and diseased states, for use in personalized health monitoring programs and for the design of individualized interventions.

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Metadata

Authors
van der Greef, J., Hankemeier, T., & McBurney, R. N.
Venue
Pharmacogenomics
Published
2006-10
Volume
7
Issue
7
Pages
1087-1094
ISSN
  • 1462-2416 (ISSN-L)
  • 1744-8042
OpenAlex
W1968137491
Cited by
175
References
2
FWCI
4.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metabolomics-Based Systems Biology and Personalized Medicine: Moving Towards n = 1 Clinical Trials? https://app.cochat.ai/papers/10.2217/14622416.7.7.1087
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van der Greef, J., Hankemeier, T., & McBurney, R. N. (2006). Metabolomics-Based Systems Biology and Personalized Medicine: Moving Towards n = 1 Clinical Trials? Pharmacogenomics. https://doi.org/10.2217/14622416.7.7.1087

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.