Journal article
Dynamical systems approaches to personalized medicine
Current opinion in biotechnology, Vol.58, pp.168-174
08/2019
DOI: 10.1016/j.copbio.2019.03.005
PMCID: PMC7050596
PMID: 30978644
Abstract
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•The same disease and an individual’s responses to drugs can vary considerably.•The central reason for these differences is the complexity of the human body.•The differences in responses pose severe challenges for personalized medicine.•Computational systems biology is a powerful tool for addressing these challenges.•Different modeling modalities can support and aid rational personalized medicine.
The complexity of the human body is a major roadblock to diagnosis and treatment of disease. Individuals may be diagnosed with the same disease but exhibit different biomarker profiles or physiological changes and, importantly, they may respond differently to the same risk factors and the same treatment. There is no doubt that computational methods of data analysis and interpretation must be developed for medicine to evolve from the traditional population-based approaches to personalized treatment strategies. We discuss how computational systems biology is contributing to this current evolution.
Details
- Title: Subtitle
- Dynamical systems approaches to personalized medicine
- Creators
- Jacob D Davis - Georgia Institute of TechnologyCarla M Kumbale - Emory UniversityQiang Zhang - Emory UniversityEberhard O Voit - Georgia Institute of Technology
- Resource Type
- Journal article
- Publication Details
- Current opinion in biotechnology, Vol.58, pp.168-174
- DOI
- 10.1016/j.copbio.2019.03.005
- PMID
- 30978644
- PMCID
- PMC7050596
- NLM abbreviation
- Curr Opin Biotechnol
- ISSN
- 0958-1669
- eISSN
- 1879-0429
- Publisher
- Elsevier Ltd
- Grant note
- DOI: 10.13039/100000152, name: NSF-MCB; name: NIH
- Language
- English
- Date published
- 08/2019
- Academic Unit
- Neurology
- Record Identifier
- 9984303012302771
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