Our online symposium is scheduled for March 22nd, from 9 am to 12 pm PST. It focuses on the comprehensive analysis of ‘Omics data, aiming to identify pathways that are […]

Artificial intelligence (AI) has emerged as a powerful tool in the field of toxicology, offering the potential to streamline toxicity testing, reduce the use of animal testing, and improve human health risk assessment. AI algorithms can analyze vast amounts of chemical data and predict toxicity levels, providing valuable insights into the safety of chemicals and drugs. Additionally, AI can be used to develop more accurate models of toxicological effects on the human body, allowing researchers to better understand the mechanisms of toxicity and develop safer products. Overall, AI has the potential to revolutionize toxicology, improving the efficiency and accuracy of toxicity testing while reducing the use of animal models and enhancing human health protection.