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1. Data-Driven Characterization of Genetic Variability in Disease Pathways and Pesticide-Induced Nervous System Disease in the United States Population

7. Modernizing persistence–bioaccumulation–toxicity (PBT) assessment with high throughput animal-free methods

12. Assessing Human Exposure to SVOCs in Materials, Products, and Articles: A Modular Mechanistic Framework

16. Exposure modelling in Europe: how to pave the road for the future as part of the European Exposure Science Strategy 2020–2030

17. Towards further harmonization of a glossary for exposure science—an ISES Europe statement

18. Enhancing the use of exposure science across EU chemical policies as part of the European Exposure Science Strategy 2020–2030

21. Challenges and opportunities when moving food production and consumption toward sustainable diets in the Nordics: a scoping review for Nordic Nutrition Recommendations 2023

24. Global Effect Factors for Exposure to Fine Particulate Matter

25. Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways

27. One planet: one health. A call to support the initiative on a global science–policy body on chemicals and waste

30. Challenges and opportunities when moving food production and consumption toward sustainable diets in the Nordics:a scoping review for Nordic Nutrition Recommendations 2023

31. Editorial: Sustainability assessment of chemicals in consumer products

32. Near-Field Exposures and Human Health Impacts for Organic Chemicals in Interior Paints:A High-Throughput Screening

33. Conceptual framework for identifying polymers of concern

34. Probabilistic Reference and 10% Effect Concentrations for Characterizing Inhalation Non-cancer and Developmental/Reproductive Effects for 2,160 Substances

35. Accounting for nutrition-related health impacts in food life cycle assessment:insights from an expert workshop

45. A human biomonitoring (HBM) Global Registry Framework: Further advancement of HBM research following the FAIR principles

46. Probabilistic Points of Departure and Reference Doses for Characterizing Human Noncancer and Developmental/Reproductive Effects for 10,145 Chemicals

47. Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Noncancer and Developmental/Reproductive Effects

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