Despite advancements, toxicity prediction faces several challenges:
Data quality: High-quality and comprehensive data are essential for accurate predictions. Inconsistent or incomplete datasets can lead to unreliable results. Model validation: Ensuring that prediction models are reliable and applicable to a wide range of chemicals is critical. This requires rigorous testing and validation processes. Complex biological interactions: The human body is highly complex, and predicting how a chemical will interact with various biological systems remains challenging. Ethical and regulatory issues: Balancing the need for accurate predictions with ethical considerations, especially concerning animal testing, poses ongoing dilemmas.
