Testing such antibody candidates in three-dimensional human tissue models allows predictions of the safety of several candidate molecules long before preclinical testing in non-human primates or in human clinical situations [29].
Numerical analysis using compressible models allowed prediction of the stable deformed states that do not remain round.
Overall, the models allow prediction of important crown properties for two major conifers at a range of scales, and can thus contribute to better prediction of stand growth and other properties.
The Krieger Dougherty model allows prediction of the viscosity of mortar, and the viscosity of mortar can be decreased with low packing density of fine aggregate.
The model allows prediction of the development of vertical density gradients as a function of cell size, initial porosity level, specimen height and thermo-physical properties.
Under these conditions, the present LFM model allows prediction of calibration results for other gases with approximately three times more accuracy than conventional approaches that plot the flow coefficient as a function of the viscosity coefficient or Re.
This model allows prediction of the survival duration of individuals that vary in their levels of body fatness.
This enhanced model allows prediction, for any set of inputs representing a patient, of the probability of being in any one of the three states: death (mRS = 6), dependence (2 ≤ mRS < 6) and independence (mRS ≤ 2).
These models allow predictions of Ra with small error (12.8 %).
These models allow predictions of the spatial variation of temperature air velocity and pressure within the concentrator system to be made and realistic theoretical investigations into the effects of design modifications to be undertaken.
