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Through these models, we aim to better understand the uncertainties of the model parameters and the role of fluid-mediated processes in the postseismic deformation.
Using such models, we aim to help determine, predict and test biologically based mechanisms.
First paragraph of Introduction: "Using such models, we aim to help determine, predict and test biologically based mechanisms".
In this series of increasingly denser models, we aim to discover how many markers are needed to increase the predictive ability.
By developing and comparing various predictive models, we aim to create a risk prediction tool that can be used clinically to isolate a high-risk patient population for targeted weight loss interventions.
After developing and testing these PK models, we aim to perform Monte Carlo dosing simulations, which can then form the basis for dosing guidelines for antibiotics and sedative use in patients on ECMO.
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Using these animal models we aimed to investigate the potential role of oxidative stress in the development and progression of lipid-driven cardiomyopathy with special emphasis on the specific role of cardiac NADPH oxidases.
By removing the competition variable from the models, we aimed to remove the possibility of bad controls.
Through individualized risk-assessment and prediction models, we aimed to improve preoperative risk counseling for patients undergoing colectomy; identify modifiable preoperative risk factors; and encourage the use of evidence-based risk-prediction instruments in the clinical setting.
To allow an in vivo evaluation of the potency of CD137L-DCs in murine models we aimed at generating murine CD137L-DCs.
Given the complexity of the historical and demographic models we aimed to explore, we sought to overcome the problem of unknown likelihood functions [38], [72] by using the ABC setting.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com