XXXX --a further investigation.

@entity1 @entity908 @entity121 @entity617 @entity6558
In essence, this paper describes the model-based interpretation of measurements in order to gain insight into physiological processes. The paper extends the mathematical model developed previously to control and monitor a @entity6558 @entity1 . The extension considers two further yet different types of @entity121 . The model is applied to simulate, first, the total serum @entity908 kinase levels, which then are matched to the observed values. The outcomes of this approach yield considerable information about the reactions taking place including various concentration levels over time such as @entity617 . The changes in the @entity121 are estimated. Examples illustrate how the model may be used to assess, for a single @entity1 , the maximum reduction of the @entity121 whilst keeping the @entity617 concentration as low as possible. The model has been successfully used to interpret variations in daily heart rate measurements of a @entity6558 @entity1 . Consequently, it is shown how daily heart rate measurements may now be used to complement the control and monitoring of the @entity6558 @entity1 . The model is used to explore multi- @entity1 statistics. It shows the dangers of using such an approach. The model illustrates the need for longitudinal studies.
