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Alicia Paini
Researcher at Wageningen University and Research Centre
Publications - 88
Citations - 2113
Alicia Paini is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 21, co-authored 66 publications receiving 1314 citations. Previous affiliations of Alicia Paini include Nestlé.
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Journal ArticleDOI
In vitro to in vivo extrapolation for high throughput prioritization and decision making.
Shannon M. Bell,Xiaoqing Chang,John F. Wambaugh,David G. Allen,M. Bartels,Kim L. R. Brouwer,Warren Casey,Neepa Choksi,Stephen S. Ferguson,Grazyna Fraczkiewicz,Annie M. Jarabek,Alice Ke,Annie Lumen,Scott G. Lynn,Alicia Paini,Paul S. Price,Caroline Ring,Ted W. Simon,Nisha S. Sipes,Catherine S. Sprankle,Judy Strickland,John A. Troutman,Barbara A. Wetmore,Nicole Kleinstreuer +23 more
TL;DR: The U.S. Environmental Protection Agency Office of Research and Development and the National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods co-organized a workshop and webinar series to explore the capabilities and limitations of IVIVE within this context.
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How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology.
Clemens Wittwehr,Hristo Aladjov,Gerald T. Ankley,Hugh J. Byrne,Joop de Knecht,Elmar Heinzle,Günter Klambauer,Brigitte Landesmann,Mirjam Luijten,Cameron MacKay,Gavin Maxwell,M.E. Bette Meek,Alicia Paini,Edward J. Perkins,Tomasz Sobanski,Daniel L. Villeneuve,Katrina M. Waters,Maurice Whelan +17 more
TL;DR: It is argued that the systematic organization of knowledge into AOP frameworks can inform and help direct the design and development of computational prediction models that can further enhance the utility of mechanistic and in silico data for chemical safety assessment.
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Regulatory assessment and risk management of chemical mixtures: challenges and ways forward.
Stephanie K. Bopp,Aude Kienzler,Andrea-Nicole Richarz,Sander van der Linden,Alicia Paini,Nikolaos Parissis,Andrew Worth +6 more
TL;DR: Considering the large number of possible combinations of chemicals in mixtures, prioritization is needed, so that actions first address mixtures of highest concern and chemicals that drive the mixture risk.
Journal ArticleDOI
Putative adverse outcome pathways relevant to neurotoxicity
Anna Bal-Price,Kevin M. Crofton,Magdalini Sachana,Timothy J. Shafer,Mamta Behl,Anna Forsby,Alan J. Hargreaves,Brigitte Landesmann,Pamela J. Lein,Jochem Louisse,Florianne Monnet-Tschudi,Alicia Paini,Alexandra Rolaki,Andre Schrattenholz,Cristina Suñol,Christoph van Thriel,Maurice Whelan,Ellen Fritsche +17 more
TL;DR: As a first step in applying the AOP framework to adverse health outcomes associated with exposure to exogenous neurotoxic substances, the EU Reference Laboratory for Alternatives to Animal Testing organized a workshop to identify potential AOPs relevant to neurotoxic and developmental neurotoxic outcomes.
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A Review of In Silico Tools as Alternatives to Animal Testing: Principles, Resources and Applications
TL;DR: A greater understanding of the time and concentration-dependent mechanisms, underlying the interactions between chemicals and biological systems, and the sequence of events that can lead to apical effects, will help to move forward the science of reducing and replacing animal experiments.