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In this regard, the development of mechanistic models such as the Global Scale Wave Model GSWMM) described by Hagan et al. (1999) have proved invaluable for the interpretation of tidal observations.
The physiological and genetic diversity of organisms contributes to the diversity of mechanistic models, such as the parallel, sequential, deepening rest, four phases, Utah (Richardson et al. 1974), positive chill (Linsley-Noakes et al. 1995), and North Carolina models (Gilreath and Buchanan 1981).
Because these assumptions are not consistent with the mechanism of PCR, empirical model predictions are less reliable than predictions made by mechanistic models such as MAK2.
The systems biology approach often involves the development of mechanistic models, such as the reconstruction of dynamic systems from the quantitative properties of their elementary building blocks.
The formulation of more mechanistic models, such as those already developed for prostate cancer, chronic myeloid leukemia, or high-grade glioma, including models for the analysis of full imaging data, provides an important opportunity.
Moving from traditional empirical PK/PD models towards more mechanistic models such as physiologically based PK (PBPK) models and systems pharmacology models will not only provide greater power for predicting clinical outcomes but will also offer more insight into the biological systems of interest.
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For example, a reduced mechanistic model, such as the Michaelis-Menten rate law, is often proposed to fit the experimental data, at the cost of sacrificing the original mechanistic interpretation.
At this point, it remains to be seen which approach will ultimately achieve highest accuracy: a mechanistic model such as in BayesCall or Seraphim, a strictly empirical approach such as in Ibis, or some intermediate solution such as in Alta-Cyclic.
This challenge has given rise to a number of approaches aimed at improving our ability to develop, verify and manipulate multi-parameter mechanistic models of such systems.
For QMRA and mechanistic models, inputs such as indicator and pathogen concentrations, pathogen loading estimates, and health risks posed by various animal species are needed.
Even in the absence of further mechanistic modeling, techniques such as PCA can yield potentially useful diagnostic information in the setting of T/HS.
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