What Is the Future of Machine Learning in Toxicology?
The future of ML in toxicology looks promising, with ongoing advancements in algorithm development and data science. Integrating ML with other technologies, such as omics data (genomics, proteomics, etc.), can provide even more comprehensive toxicity assessments. Furthermore, the development of standardized, high-quality datasets will enhance the reliability and acceptance of ML models in regulatory contexts.
