Extrapolation is fraught with challenges and uncertainties. A primary challenge is the inherent biological variability between species and individuals. Other challenges include:
Data Limitations: Extrapolations are only as reliable as the data they are based on. Limited or poor-quality data can lead to inaccurate predictions. Model Uncertainty: Different models can yield varying results, and selecting an appropriate model is crucial for valid extrapolation. Assumptions: Extrapolation often involves assumptions that may not hold true across different contexts, such as assuming linear dose-response relationships.
