Advances in Toxicology: Predictive Models, Biomarkers, And Safety Assessment

Abstract

Toxicology is an essential field that focuses on understanding the harmful effects of drugs, chemicals, and environmental substances on human health. In recent years, significant advancements have improved the way toxic effects are predicted and evaluated. Modern predictive models, including computational approaches, artificial intelligence, and in vitro testing methods, are helping researchers identify potential safety concerns more efficiently and accurately while minimizing the use of animal studies. These innovations are playing an important role in improving drug development and public health protection. Biomarkers have emerged as valuable tools in toxicology for the early detection and monitoring of toxic effects. Molecular, genetic, and biochemical biomarkers are increasingly used to assess drug safety, detect organ toxicity, and support personalized treatment strategies. In addition, advanced safety assessment methods such as high-throughput screening and omics technologies have enhanced the reliability and speed of toxicity evaluation. This review highlights recent developments in predictive toxicology, the growing importance of biomarkers, and modern safety assessment approaches. It also discusses current challenges and future perspectives in creating safer therapeutic products and improving environmental safety. Overall, these advancements are transforming toxicology into a more accurate, efficient, and ethically responsible scientific discipline.