Are There Limitations in Computational Toxicology?
Computational toxicology, which uses computer models to predict chemical toxicity, is gaining traction as a non-animal testing method. Nevertheless, these models are only as good as the data they are based on. Incomplete or biased datasets can lead to inaccurate predictions. Moreover, the complexity of biological systems makes it difficult to create models that can account for all variables, limiting their utility in accurately predicting human responses to chemical exposure.
