Editorial: Next generation chemical risk assessment: integration of advances in toxicology, biology and computation.

This document is an editorial titled "Next generation chemical risk assessment: integration of advances in toxicology, biology and computation." It discusses the potential for recent advancements in toxicology, such as high-throughput screening assays, omics technology, and machine learning algorithms, to improve risk assessment by enhancing hazard characterization, dose-response assessment, and exposure assessment. The editorial acknowledges the challenges and uncertainties associated with implementing next-generation risk assessment, including the development of predictive indicators for various chemicals and understanding toxicological mechanisms. The document also mentions a research topic on next-generation chemical risk assessment, which includes papers on database and computational algorithms, high-throughput assays, and the application of deep learning in predicting drug-induced liver injury. The editorial concludes by acknowledging the contributions of the authors, reviewers, and journal staff. [Extracted from the article]