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While our model integrates information from physical mapping, biochemical analysis, and crystallographic structure, its final construct was in silico, and it should therefore be considered speculative.
The model integrates information on seismic hazard and information on expected earthquake damage on engineering facilities in a systematic way, yielding estimates of earthquake insurance rates.
The second — the so-called "process-based model" — integrates information into the continuing dialogue between physician and patient, vital for diagnosis and treatment.
The current model integrates information on local vascular permeability and vessel density derived from DCE-MRI.
This model integrates information from networks (e.g. pathways) and nodes (e.g. genes) by a hybrid of conditional and generative components.
The model integrates information on population, obesity and smoking trends at a given point of time to estimate diabetes prevalence in the future using a Markov model.
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For example, our model integrated information from physical mapping (based on chemical cross linkers), from structural information reported in the literature, from our findings implicating KBU2046 interaction with HSP90/CDC37 heterocomplexes, and only took into consideration heterocomplex structure (i.e., in the absence of bound client proteins).
Our Bayesian model integrated information from three different diagnostic methods and was independent of a gold standard test; moreover, it allowed us to estimate the true BTB prevalence in the sampled population and the true disease status of each tested animal.
We turn to mathematical cardiac electrophysiology models of ventricular myocytes; these models integrate information about individual channel currents to describe their collective behaviour, and AP formation.
Therefore, in the past years, strategies for optimising risk stratification of normotensive patients with acute PE have focused on (1) combination models integrating information from laboratory markers and imaging procedures [ 7– 9]; (2) clinical scores of PE severity [ 10– 14]; and (3) novel, promising biomarkers [ 9, 15].
Multimarker models integrating information obtained from echocardiography (evidence or exclusion of RV dysfunction) in combination with laboratory biomarkers (such as growth-differentiation factor-15 (GDF-15) [ 9], NT-proBNP [ 7], cTnT [ 8, 29]/hsTnT [ 15], or H-FABP [ 18, 19]) have been reported to improve risk stratification of acute PE.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com