[HTML][HTML] Application of AOPs to assist regulatory assessment of chemical risks–Case studies, needs and recommendations

L Bajard, O Adamovsky, K Audouze, K Baken… - Environmental …, 2023 - Elsevier
While human regulatory risk assessment (RA) still largely relies on animal studies, new
approach methodologies (NAMs) based on in vitro, in silico or non-mammalian alternative …

[HTML][HTML] Probabilistic risk assessment–the keystone for the future of toxicology

A Maertens, E Golden, TH Luechtefeld, S Hoffmann… - Altex, 2022 - ncbi.nlm.nih.gov
Safety sciences must cope with uncertainty of models and results as well as information
gaps. Acknowledging this uncertainty necessitates embracing probabilities and accepting …

A framework for chemical safety assessment incorporating new approach methodologies within REACH

N Ball, R Bars, PA Botham, A Cuciureanu… - Archives of …, 2022 - Springer
The long-term investment in new approach methodologies (NAMs) within the EU and other
parts of the world is beginning to result in an emerging consensus of how to use information …

Development of a roadmap for action on new approach methodologies in risk assessment

SE Escher, F Partosch, S Konzok… - EFSA Supporting …, 2022 - Wiley Online Library
While whole animal studies have their place in risk assessment of food and feed
components, it is thought that more modern approaches such as human focused new …

Artificial intelligence (AI)—it's the end of the tox as we know it (and I feel fine)

N Kleinstreuer, T Hartung - Archives of Toxicology, 2024 - Springer
The rapid progress of AI impacts diverse scientific disciplines, including toxicology, and has
the potential to transform chemical safety evaluation. Toxicology has evolved from an …

[HTML][HTML] Establishment of a human cell-based in vitro battery to assess developmental neurotoxicity hazard of chemicals

J Blum, S Masjosthusmann, K Bartmann, F Bendt… - Chemosphere, 2023 - Elsevier
Developmental neurotoxicity (DNT) is a major safety concern for all chemicals of the human
exposome. However, DNT data from animal studies are available for only a small …

Tox-GAN: an artificial intelligence approach alternative to animal studies—a case study with toxicogenomics

X Chen, R Roberts, W Tong, Z Liu - Toxicological Sciences, 2022 - academic.oup.com
Animal studies are a critical component in biomedical research, pharmaceutical product
development, and regulatory submissions. There is a worldwide effort in toxicology toward …

DeepCarc: Deep learning-powered carcinogenicity prediction using model-level representation

T Li, W Tong, R Roberts, Z Liu… - Frontiers in artificial …, 2021 - frontiersin.org
Carcinogenicity testing plays an essential role in identifying carcinogens in environmental
chemistry and drug development. However, it is a time-consuming and label-intensive …

[HTML][HTML] A review of in silico toxicology approaches to support the safety assessment of cosmetics-related materials

MTD Cronin, SJ Enoch, JC Madden, JF Rathman… - Computational …, 2022 - Elsevier
In silico tools and resources are now used commonly in toxicology and to support the “Next
Generation Risk Assessment”(NGRA) of cosmetics ingredients or materials. This review …

Artificial intelligence as the new frontier in chemical risk assessment

T Hartung - Frontiers in Artificial Intelligence, 2023 - frontiersin.org
The rapid progress of AI impacts various areas of life, including toxicology, and promises a
major role for AI in future risk assessments. Toxicology has shifted from a purely empirical …