Risk modeling in toxicology faces several challenges:
Data Gaps: Limited or insufficient data can hinder accurate risk assessments. Uncertainty and Variability: Biological variability and uncertainty in exposure assessments can complicate risk predictions. Complex Interactions: The interaction of chemicals with biological systems and other chemicals can lead to unforeseen effects, making modeling difficult. Ethical Concerns: The reliance on animal testing raises ethical issues, prompting the need for alternative methods.
