While highly beneficial, toxicology software does have limitations. The accuracy of predictions can be constrained by the quality and extent of the underlying data. In some cases, the software may oversimplify complex biological interactions, leading to potential inaccuracies. Additionally, there is a need for continuous updates and validation of software models to ensure their relevance and reliability in ever-evolving scientific landscapes.
