What are the future trends in toxicological modeling?
Future trends in toxicological modeling include the development of more sophisticated computational approaches, such as machine learning and artificial intelligence, to improve predictive capabilities. The use of human-relevant models, including stem cell technologies and patient-derived cells, is expected to increase. There is also a growing emphasis on the integration of omics technologies (genomics, proteomics, metabolomics) to provide a holistic view of toxicological responses. These advancements aim to improve the accuracy and relevance of toxicological assessments while reducing reliance on animal testing.
In conclusion, experimental models play a pivotal role in toxicology, each offering unique advantages and facing specific challenges. The integration and advancement of these models are crucial for the continued progress in understanding and mitigating the risks associated with toxicants.
