Optimization is crucial in toxicology due to the increasing complexity of chemical exposure scenarios and the need for more precise data. It allows toxicologists to predict adverse effects more accurately, reducing the reliance on extensive animal testing and paving the way for alternative methods. This not only leads to more humane practices but also faster and potentially more cost-effective results.
