Predicting nonlinear effects can be challenging due to the complexity of biological systems. However, advances in computational modeling and systems biology are improving our ability to predict these effects. Such models can simulate various scenarios and help in identifying potential nonlinear dose-response relationships before actual exposure occurs.
