Despite its importance, however, to our knowledge there are no published in silico models to simulate the progression of discrete virtual projects through a discovery milestone system.
Such models are needed to construct computer models to simulate the progression of diabetes, and may, with further validation, be useful for clinical decision making.
The trial demonstrated that bevacizumab was an effective treatment in terms of both outcomes [ 14, 15].> State transition Markov models were constructed to simulate the progression of the disease in terms of VA and CS.
The overall architecture of the modified CORE Diabetes Model remained analogous to the original version, with all active sub-models running in parallel to simulate the progression of disease and the development of diabetes-related complications.
A decision analytic model and Markov modeling techniques previously designed [14] were used to simulate the progression of a hypothetical cohort of 1,000 Spanish patients who are initially not on dialysis, representing the relevant stages of the natural history of the disease over time, as well as estimates for probability of progression between the health states related to CKD.
The ordinary differential equation-based model was used to simulate the progression of sepsis over a 30-day hospital stay.
In order to provide better guidance on clinical candidate development, we have developed a conductance-based, biophysical model of cortical networks to simulate the progression of AD.
The disease model uses a semi-Markov process to simulate the progression of infected persons through 3 discrete states of disease.
This study developed a numerical model to simulate the pipe progression in a levee foundation by analyzing the inception and transportation of erodible particles from the soil fabric.
The proposed model consists of a deterministic mathematical model to simulate the process of HIV infection and disease progression, death and diagnosis (Fig. 1).
