What are the Challenges in Interpreting Pathological Data?
Interpreting pathological data poses several challenges due to the complexity of biological systems and the variability of responses among different organisms. Factors such as genetic predisposition, age, sex, and pre-existing health conditions can influence the toxicity of a substance, making it difficult to generalize findings. Additionally, discrepancies between human and animal data can complicate risk assessments. The use of alternative methods like computational modeling and in vitro assays can help address these challenges by providing supplementary data and reducing reliance on animal testing.
