September 19, 2026 article Open access Artificial intelligence for predictive mixture toxicology Toxicology DOI: 10.1016/j.tox.2026.154589 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 4 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Machine learning-driven QSAR models for predicting the mixture toxicity of nanoparticles 2023 Environment International article Materials Science Nanoparticles: synthesis and applications Open access 88 citations Mapping public perception of artificial intelligence: Expectations, risk–benefit tradeoffs, and value as determinants for societal acceptance 2025 Technological Forecasting and Social Change article Social Sciences Ethics and Social Impacts of AI Open access 55 citations AI-aided chronic mixture risk assessment along a small European river reveals multiple sites at risk and pharmaceuticals being the main risk drivers 2025 Environment International article Environmental Science Environmental Toxicology and Ecotoxicology Open access 15 citations Review on Predictive Models and Integration Strategies for Holistic Impact Assessment of Chemicals and Materials 2026 Environmental Science & Technology article Environmental Science Chemistry and Chemical Engineering Open access 11 citations 4 results