IoT can significantly enhance predictive toxicology by providing large datasets that can be analyzed using machine learning algorithms. This data-driven approach can help predict the toxicity of new compounds and understand the potential risks associated with exposure to multiple chemicals. By integrating IoT data with computational models, toxicologists can develop more accurate predictions about chemical behavior and toxicity.
