Computational models play a significant role in optimizing toxicological processes. These models can simulate complex biological interactions and predict the potential impact of chemicals on human health and the environment. By using in silico methods, researchers can reduce the need for animal testing, speed up the discovery of safer chemicals, and better understand the mechanisms of toxicity. This makes the risk assessment process more efficient and less costly.
