The future of integrative toxicology looks promising with advancements in data analytics, machine learning, and artificial intelligence. These technologies will enable more precise predictions and enhance the ability to analyze complex datasets. The continued development of international databases and collaborative efforts will further support the integration of global toxicological data, leading to more robust and reliable risk assessments.
