1,075 results on '"Cronin, Mark"'
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2. Analysis of health concerns not addressed by REACH for low tonnage chemicals and opportunities for new approach methodology
3. Analysis of implicit and explicit uncertainties in QSAR prediction of chemical toxicity: A case study of neurotoxicity
4. G × E interactions as a basis for toxicological uncertainty
5. Update of the Cancer Potency Database (CPDB) to enable derivations of Thresholds of Toxicological Concern (TTC) for cancer potency
6. The role of a molecular informatics platform to support next generation risk assessment
7. Making in silico predictive models for toxicology FAIR
8. A review of quantitative structure-activity relationship modelling approaches to predict the toxicity of mixtures
9. eTRANSAFE: data science to empower translational safety assessment
10. Principles and procedures for assessment of acute toxicity incorporating in silico methods
11. A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties
12. Read-across and new approach methodologies applied in a 10-step framework for cosmetics safety assessment – A case study with parabens
13. A framework for chemical safety assessment incorporating new approach methodologies within REACH
14. The use of Bayesian methodology in the development and validation of a tiered assessment approach towards prediction of rat acute oral toxicity
15. A strategy to define applicability domains for read-across
16. A 10-step framework for use of read-across (RAX) in next generation risk assessment (NGRA) for cosmetics safety assessment
17. QSPR and q-RASPR predictions of the adsorption capacity of polyethylene, polypropylene and polystyrene microplastics for various organic pollutants in diverse aqueous environments.
18. Utilizing Omics Data for Chemical Grouping.
19. Molecular similarity in chemical informatics and predictive toxicity modeling: from quantitative read-across (q-RA) to quantitative read-across structure–activity relationship (q-RASAR) with the application of machine learning.
20. A review of in silico toxicology approaches to support the safety assessment of cosmetics-related materials
21. Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network
22. A matter of trust: Learning lessons about causality will make qAOPs credible
23. Evaluating confidence in toxicity assessments based on experimental data and in silico predictions
24. Towards a qAOP framework for predictive toxicology - Linking data to decisions
25. A Worldview of Everything: A Contemporary First Philosophy
26. In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicities
27. In silico approaches in organ toxicity hazard assessment: Current status and future needs in predicting liver toxicity
28. A mechanistic model to study the kinetics and toxicity of salicylic acid in the kidney of four virtual individuals
29. Derivation, characterisation and analysis of an adverse outcome pathway network for human hepatotoxicity
30. Determination of “fitness-for-purpose” of quantitative structure-activity relationship (QSAR) models to predict (eco-)toxicological endpoints for regulatory use
31. New framework for a non-animal approach adequately assures the safety of cosmetic ingredients – A case study on caffeine
32. Incorporating lines of evidence from New Approach Methodologies (NAMs) to reduce uncertainties in a category based read-across: A case study for repeated dose toxicity
33. GRADE Guidelines 30: the GRADE approach to assessing the certainty of modeled evidence—An overview in the context of health decision-making
34. Skin sensitization in silico protocol
35. The way forward for assessing the human health safety of cosmetics in the EU - Workshop proceedings
36. Quantitative adverse outcome pathway (qAOP) models for toxicity prediction
37. Genetic toxicology in silico protocol
38. Identification and description of the uncertainty, variability, bias and influence in quantitative structure-activity relationships (QSARs) for toxicity prediction
39. Computational Approaches for Drug-Induced Liver Injury (DILI) Prediction: State of the Art and Challenges
40. Exposure considerations in human safety assessment: Report from an EPAA Partners’ Forum
41. Conclusion
42. Working with Vulnerable Parents
43. Looked-After Children and Care Leavers
44. The Legal and Policy Context
45. Development of Baseline Quantitative Structure-Activity Relationships (QSARs) for the Effects of Active Pharmaceutical Ingredients (APIs) to Aquatic Species
46. Role of Toxicological Big Data to Support Read-across for the Assessment of Chemicals
47. Compilation of Data and Modelling of Nanoparticle Interactions and Toxicity in the NanoPUZZLES Project
48. In silico toxicology protocols
49. Perspectives from the NanoSafety Modelling Cluster on the validation criteria for (Q)SAR models used in nanotechnology
50. Development and analysis of an adverse outcome pathway network for human neurotoxicity
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