1 publication

• Published Subscription Review Article 14 Nov 2025

  A Study on AI-Enhanced Environmental Toxicology: Sensor-Driven Predictive Framework

  By Shaikh A. Hakim A, Kazi Kutubuddin Sayyad Liyakat

  Abstract: Traditional environmental toxicology relies heavily on labor-intensive, often retrospective, sampling and analysis, limiting our understanding of dynamic pollutant behaviors and their real-time impact on ecosystems and human health. This study presents a novel, integrated framework leveraging advanced sensor networks and artificial intelligence (AI) to revolutionize the monitoring, assessment, and predictive modeling of environmental contaminants. We deployed a sophisticated array of multi-parameter sensors (e.g., electrochemical, optical, biosensors for heavy metals, organic …

  Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 Read article →