What Are the Future Directions for Exposure Models?
The future of exposure models lies in enhancing their precision and applicability. Integration of big data and machine learning can improve model accuracy by incorporating large datasets and identifying complex patterns. Moreover, advancements in exposure science, such as real-time monitoring and wearable sensors, offer opportunities to refine exposure assessments and tailor models to individual scenarios.
In conclusion, exposure models are indispensable tools in toxicology, providing insights into the risk assessment of chemical exposures. By answering key questions about their development, application, and limitations, we gain a deeper understanding of how these models contribute to safeguarding public health and the environment.
