Despite the advancements, several challenges remain:
Data Quality: Reliable predictions require high-quality, standardized data, which can be difficult to obtain. Complexity of Biological Systems: Human and environmental systems are highly complex, making it challenging to predict all possible outcomes of chemical exposure. Inter-species Variability: Results from animal models do not always accurately predict human responses. Regulatory Acceptance: New predictive methods must be validated and accepted by regulatory agencies, which can be a lengthy process.
