Advancements in technology and methodologies, such as machine learning and big data analytics, offer new opportunities to improve causal inference. These tools can handle large datasets and complex interactions, providing more robust and reliable assessments of toxicological risks.
In conclusion, establishing causal relationships in toxicology is a multifaceted process that requires a thorough understanding of both the substance in question and the biological systems it affects. Through the integration of various scientific disciplines and methodologies, toxicologists aim to protect public health by identifying and minimizing the risks associated with chemical exposures.
