Specifically, mathematical models may overcome problems connected with the use of statistical methods in environmental infectious disease epidemiology via their ability to address multiplicative-exposure effects, nonlinear feedback pathways, spatiotemporal heterogeneities, and complex transmission dynamics.
Animal models may overcome many of the limitations of the application of genomic technology to humans, including the need for repeated encoscopy, the large genetic and phenotypic variability, and the difficulty of studying the initial stages of the disease.
Alternative funding mechanisms such as service vouchers and fundholder or capitation models may overcome some of the anomalies that have developed over time between the provision of acute services and chronic disease management, supporting health system objectives of equity and efficient allocation of health care resources.
Therefore, developing continuum models which may overcome these restrictions are expected to be the dominant tool for modeling structures at the scale of nanometers and performing analytical analysis of CNTs of larger scales.
In particular, this model system may overcome many of the limitations of live animals, primary neuronal culture, or neural mesenchymal cells from fetuses with less costly experimentation and ethical constraints.
Using optogenetic and chemogenetic methods to directly target specific cellular targets in chronic models of CSD may overcome some of the difficulties in interpreting and validating the prevailing model.
These data suggest that the use of surgical patients to model critical illness may overcome several key limitations.
Model-based estimators may overcome this disadvantage, but they also may be biased and estimation of variances may be computationally intensive.
Evidence from preclinical models suggests that trastuzumab may overcome relative resistance to endocrine therapy [ 81], providing the rationale for combining anti-HER2 and endocrine therapies in the clinical setting.
Perhaps the next step would be to utilize all of the different HTS screening data to build a combined model that considers this structural diversity and may overcome limitations in the current models.
