The future of engineering in toxicology looks promising with advancements in nanotechnology, artificial intelligence (AI), and machine learning (ML). These technologies have the potential to revolutionize the detection, monitoring, and remediation of toxic substances. For instance, AI and ML can analyze large datasets to identify patterns and predict toxicological outcomes, while nanotechnology can enhance the efficiency of sensors and remediation techniques.
