Abstract
Based on prior knowledge and ad hoc assumptions, a computational model is built that mimics the effects of a virtual drug on colorectal tumor size and on palmar and plantar skin. Models for tumor growth and skin turnover are combined with pharmacokinetic (PK) and pharmacodynamic (PD) models to assess the impact of two alternative dosing regimens on efficacy and safety. Both regimens deliver the same cumulative drug amount, but one regimen employs a continuous schedule while the other allows for temporary drug discontinuation. Interindividual variability is introduced on PK and PD parameters and Monte Carlo simulations are performed in treatment groups of 50 subjects. Such simulations can contribute to the assessment of the benefit/risk ratio of an intended drug treatment.
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References
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Gieschke, R., Serafin, D. (2014). First Example of a Computational Model. In: Development of Innovative Drugs via Modeling with MATLAB. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39765-3_2
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DOI: https://doi.org/10.1007/978-3-642-39765-3_2
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