Literature DB >> 30946968

Workshop on the validation and regulatory acceptance of innovative 3R approaches in regulatory toxicology - Evolution versus revolution.

T Burgdorf1, A H Piersma2, R Landsiedel3, R Clewell4, N Kleinstreuer5, M Oelgeschläger6, B Desprez7, A Kienhuis8, P Bos9, R de Vries10, L de Wit9, T Seidle11, J Scheel12, G Schönfelder13, J van Benthem8, A M Vinggaard14, C Eskes15, J Ezendam8.   

Abstract

At a joint workshop organized by RIVM and BfR, international experts from governmental institutes, regulatory agencies, industry, academia and animal welfare organizations discussed and provided recommendations for the development, validation and implementation of innovative 3R approaches in regulatory toxicology. In particular, an evolutionary improvement of our current approach of test method validation in the context of defined approaches or integrated testing strategies was discussed together with a revolutionary approach based on a comprehensive description of the physiological responses of the human body to chemical exposure and the subsequent definition of relevant and predictive in vitro, in chemico or in silico methods. A more comprehensive evaluation of biological relevance, scientific validity and regulatory purpose of new test methods and assessment strategies together with case studies that provide practical experience with new approaches were discussed as essential steps to build up the necessary confidence to facilitate regulatory acceptance.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Case studies; Evolution; Relevance; Revolution; Validation; Workshop

Mesh:

Year:  2019        PMID: 30946968     DOI: 10.1016/j.tiv.2019.03.039

Source DB:  PubMed          Journal:  Toxicol In Vitro        ISSN: 0887-2333            Impact factor:   3.500


  4 in total

1.  Predicting In Vitro Neurotoxicity Induced by Nanoparticles Using Machine Learning.

Authors:  Irini Furxhi; Finbarr Murphy
Journal:  Int J Mol Sci       Date:  2020-07-25       Impact factor: 5.923

Review 2.  Practices and Trends of Machine Learning Application in Nanotoxicology.

Authors:  Irini Furxhi; Finbarr Murphy; Martin Mullins; Athanasios Arvanitis; Craig A Poland
Journal:  Nanomaterials (Basel)       Date:  2020-01-08       Impact factor: 5.076

3.  Recalcitrant Issues and New Frontiers in Nano-Pharmacology.

Authors:  Vinay Bhardwaj; Ajeet Kaushik; Ziad M Khatib; Madhavan Nair; Anthony J McGoron
Journal:  Front Pharmacol       Date:  2019-11-29       Impact factor: 5.810

4.  NanoTox: Development of a Parsimonious In Silico Model for Toxicity Assessment of Metal-Oxide Nanoparticles Using Physicochemical Features.

Authors:  Nilesh Anantha Subramanian; Ashok Palaniappan
Journal:  ACS Omega       Date:  2021-04-23
  4 in total

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