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However, on one hand, the result of such a quantification is dependent on the used quantification model (e.g. [ 29, 30]), and on the other hand the presented data is not corrected for intensity inhomogeneities, and the motion compensation methods used here do not include such correction.
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This work presents an unbiased approach to winnowing candidate NPs related to a behavior of interest in a functionally relevant manner, and demonstrates the success of such a UPLC-MSE quantification method using the open source software Skyline.
The best example of such a concept is the quantification of insulin sensitivity, as defined by the insulin sensitivity index.
We described some of the new methodologies that allow such a quantification at high throughput, but more methodologies are currently being developed.
The detailed understanding and quantification of such a complex behavior is a mandatory prerequisite to the design of novel pharmaceuticals for controlled oral delivery.
Quantification of such a complicated structure calls for some mode of multiple resolution, for instance, it could be resolved with respect first to scale and then to amplitude and periodicity.
Even though the identification and quantification of such a vast number of lipids is currently not possible, new advances in MS-based technology are expanding the number and types of lipids that can be analyzed [95].
To date, however, no clinically applicable technique of MRI evaluation enabling quantification of such a change has been established.
The quantification of such a threshold, an objective with firm biologic plausibility, will dictate the mandate to apply or withhold artificial extracorporeal support.
Mathematical modeling allows quantification of such a factor for SAN-atrial drive under ion channels modulation, which can better direct pharmacological and clinical antiarrhythmic strategies.
Indeed, the quantification of such a possible benefit is methodologically challenging, because it requires access to valid information on relevant confounding factors and opportunities for complete long-term follow-up of large cohorts of patients.
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