Reduction of quantitative systems pharmacology models using artificial neural networks

Quantitative systems pharmacology models are often highly complex and not amenable to further simulation and/or estimation analyses. Model-order reduction can be used to derive a mechanistically sound yet simpler model of the desired input–output relationship. In this study, we explore the use of ar...

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