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Prediction models may facilitate risk-based management of health care conditions.
This review focuses on how context-specific genome-scale metabolic network models may facilitate reaching this goal.
In addition, such models may facilitate rapid, rational process development, and thus reduce development costs for new medicines.
Thus, functional testing of the antiatherogenic functions of HDL in experimental animal models may facilitate the development of new strategies for the prevention and treatment of atherosclerosis.
Recent results in the field of nonstationary inverse problems have shown that accurate modeling of the state and observation models may facilitate stable state estimation, which in turn would facilitate feedback control.
We conclude that there is a clear need to bridge neural and behavioral measures, and that mathematical cognitive models may facilitate the construction of this bridge and work towards revealing the underlying mechanisms of the Simon effect.
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The use of this antigenically restricted model may facilitate the design of well-controlled studies for the characterization of immune mechanisms responsible for chronic rejection.
Further we illustrate that in addition to receptor transactivation, orthogonal in vitro assays such as mammalian two-hybrid, and endogenous gene in conjunction with molecular modeling may facilitate a greater understanding of the mechanistic complexities of NR ligands and broad HTS outcomes.
Our studies demonstrate that CmNCSCs offer a new tool for investigating neural crest development and neural crest-associated human disease and suggest that this non-human primate model may facilitate tissue engineering and regenerative medicine efforts.
Our model may facilitate preclinical therapy evaluation for the identification of effective renoprotective therapies.
Our geometric random graph null model may facilitate further graph-based studies of protein conformation.
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