BMC Pharmacology and Toxicology invites submissions for our Collection on Machine learning for predictive toxicology. Machine learning is a powerful approach to identify and assess the potential toxicity of chemicals and drugs and to finally improve human health and safety. This together with deep learning make computational modeling feasible, thereby remarkably reducing the cost and time and avoiding ethical concerns of animal or clinical tests in traditional drug development. However, refining predictive models, improving the assessed accuracy of chemical risk, enhancing the efficiency of toxicological screening, and increasing human benefits requires more research. We are particularly interested in research that leverages machine learning to enhance predictive toxicology. Topics of interest include, but are not limited to: Innovative computational approaches for predictive toxicology, including quantitative structure-activity relationships (QSAR), read-across, and expert systems; Advanced data integration, analysis, and interpretation of complex toxicological conditions; Novel computational methods for chemical risk assessment of drug and chemical safety; Application of computational models in drug development or chemical safety;

BMC Pharmacology and Toxicology is calling for submissions to our Collection on Reproductive toxicology. Reproductive toxicology encompasses the study of chemicals and pharmaceuticals that adversely affect reproductive health, including reproductive systems (e.g organs and hormone generating glands) and fertility, and development of the next generation. This reproductive hazard research is more critical, especially at the era with rising concerns about infertility, reproductive deficiency, congenital disabilities, and developmental disorders. The benefits of such research include advancing our understanding of the mechanisms underlying reproductive hazards, identifying potential risks, and developing appropriate strategies for risk prevention and intervention. This Collection aims to highlight recent advancements and emerging trends in reproductive toxicology. We seek to gather high-quality research articles that provide comprehensive insights into assessing toxicant effects on reproductive health and offspring development that include, but are not limited to: Novel assays and models to assess potential effects of hazards on reproductive organs and function, hormone glands, and teratogenicity; Identify and assess time windows, dose response and long term effects of reproductive toxicants; Pharmacokinetics and pharmacodynamics of reproductive toxicants; Identify mechanisms/pathways of reproductive toxicants at the molecular and cellular levels, including endocrine disruption; Develop and validate novel methodologies and models for assessing reproductive toxicity; This Collection supports and amplifies research related to SDG 3: Good Health & Well-Being.