Artificial intelligence - driven toxicogenomics for predictive environmental and pharmaceutical safety
The significance of AI-based toxicogenomics in drug development, environmental contaminant screening, and regulatory toxicology, while addressing key challenges such as data heterogeneity, model interpretability, and regulatory acceptance is discussed.