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The aim of this study is to optimize target trough attainment while minimizing high exposures that impose increased risk of side effects such as hyperammonemia. Clinical pharmacology is based on the principle that plasma drug concentrations are linked to therapeutic effects. Therefore, understanding plasma drug concentrations is critical to balancing efficacy and toxicity in oncology treatment, as shown with Erwinase where elevated activity increases the risk of hyperammonemia. TDM can guide dose adjustments to reduce PK variability and improve outcomes. However, harnessing all information from TDM data can be challenging due to sparse and uneven sampling, and multiple sources of PK variability. Advanced analytical tools, such as pharmacometrics and population PK modelling, can address these complexities by quantifying exposure variability in patients and linking it to dosage, patient c
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