New approach methods in chemicals safety decision-making – Are we on the brink of transformative policy-making and regulatory change?
Computational Toxicology, ISSN: 2468-1113, Vol: 30, Page: 100310
2024
- 2Citations
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Decision-making on the use and management of chemicals in society is on the brink of a scientific and technological revolution. At the same time world politics is focusing more on chemicals, waste and pollution prevention, alongside climate change and biodiversity loss. To enable effective decision-making, policy makers and regulators will need to draw upon the best scientific evidence available on the real-life causation and consequences of adverse effects of chemical and waste exposures affecting humans, wildlife and the environment. New Approach Method (NAM) data from modern day multidisciplinary science and technology is becoming more available using cheminformatics, computational prediction algorithms using AI, transcriptomics, genomics, proteomics, mathematical modelling, epidemiology, biological monitoring, and clinical science. Current chemical regulation has been shaped by the animal models of the 20th century. NAMs and Next Generation Risk Assessment (NGRA) have the potential to better support innovations in chemicals and materials through science-informed decision making that is more species-relevant and protective of adverse outcomes; this will require future-proofed regulatory transformation. Capacity building and skills development in computational and in vitro NAMs will be key to this transformation.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2468111324000124; http://dx.doi.org/10.1016/j.comtox.2024.100310; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85189512067&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2468111324000124; https://dx.doi.org/10.1016/j.comtox.2024.100310
Elsevier BV
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