Machine learning has numerous applications in toxicology, including:
Predictive Toxicology: ML models can predict the potential toxicity of new chemicals before they are synthesized, saving time and resources in drug development.
Environmental Toxicology: These models can assess the risk posed by pollutants in the environment, aiding in regulatory decision-making.
Occupational Safety: ML can help identify hazardous substances in the workplace, ensuring worker safety.
Pharmacovigilance: Machine learning can monitor adverse drug reactions, improving patient safety.
