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As a preliminary proof of concept of potential application, this approach has been used to demonstrate the detection of the seasonal influenza A virus.
In biomedical application, this approach is usually employed to identify altered abundance of metabolites and the affected metabolic pathways in a disease-specific manner for use as diagnostic markers or therapeutic targets (Budczies et al., 2015).
At the time of the Gnettic application, this approach was organised around classical laboratory-based model organisms, i.e. organisms with well-characterised gene expression patterns and large research networks around them, for instance the plant Arabidopsis thaliana and the nematode Caenorhabditis elegans, (Maher [2009], 695; Ankeny and Leonelli [2011], 316).
By combining the specificity and safety of local delivery with the ease of systemic application, this approach offers many advantages.
For future clinical application, this approach has the advantage of allowing healthcare providers to promote positive parenting behaviors associated with responsive feeding as opposed to the more negative theme of prevention of obesity and its co-morbidities.
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But in space applications this approach can't be acceptable.
In view of its diverse applications, this approach is quite an elegant and easier for application algorithms.
However, it can be anticipated that the same difficulties recognized to arise from application of this approach to diagnostic uses of imaging will apply equally to prognostic applications.
One application of this approach, the Billion Prices Project at MIT, uses billions of observations from online retail websites to track inflation.
An application of this approach is presented.
"We've recently received a patent application for this approach.
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