VeriSIM has developed a platform that integrates machine learning with robust models of in vivo pharmacokinetics and pharmacodynamics, enabling faster model development, more accurate prediction, and higher scalability.

We leverage existing datasets of physiological outputs from different species to train a model that is physiologically-relevant and translatable across different experimental conditions.

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