Toxicological models integrate various data, including chemical properties, biological parameters, and exposure scenarios. These models use differential equations and statistical methods to simulate complex biological processes. Statistical analysis plays a crucial role in model validation and uncertainty analysis, ensuring that predictions are robust and reliable.
