Toxicity Prediction
Toxicity prediction is the process of using machine learning algorithms to predict the toxicity of chemical compounds. This involves analyzing the chemical structure of a compound and predicting its potential to cause harm to humans or the environment. Toxicity prediction is an important tool in drug discovery, environmental risk assessment, and chemical safety testing. It can help identify potentially harmful compounds early in the drug development process, reduce the need for animal testing, and improve our understanding of the potential risks associated with exposure to chemicals.
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