In toxicology, backpropagation can be used to develop predictive models for assessing the toxicity of various chemicals. By training neural networks on large datasets of chemical properties and their corresponding toxicological outcomes, researchers can predict the toxicity of new compounds. This approach can significantly reduce the time and cost associated with traditional toxicological testing.
