In the field of toxicology, random forests can be employed for various predictive modeling applications. They are particularly useful for QSAR (Quantitative Structure-Activity Relationship) models, which predict the toxicity of chemical compounds based on their molecular structure. These models help in identifying potential toxic substances and understanding their mechanisms of action.
