AI is transforming toxicology by enhancing data analysis, predictive modeling, and risk assessment. Traditional methods often involve labor-intensive processes and animal testing. AI, through machine learning and deep learning algorithms, provides an efficient and ethical alternative for predicting toxicity. These algorithms can analyze complex datasets to identify patterns and predict adverse effects of chemicals and drugs.
