Predictive toxicology aims to forecast the toxic effects of substances before they manifest in live systems. By using advanced data analytics, scientists can create predictive models that simulate biological responses to various chemicals. These models are trained on vast datasets, including high-throughput screening results and -omics data, enabling more accurate predictions of toxicity and reducing the reliance on animal testing.
