High-quality data is the foundation of accurate risk assessments. Toxicologists use this data to determine the potential health effects of exposure to chemicals, including carcinogenicity, teratogenicity, and mutagenicity. Poor quality or insufficient data can lead to incorrect risk evaluations, either underestimating or overestimating the dangers posed by a substance. This can have significant implications for public health and policy-making, highlighting the importance of robust data in toxicology.
