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Frontiers in Toxicology
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December 4, 2023
SciRAPnano: a pragmatic and harmonized approach for quality evaluation of <i>in vitro</i> toxicity data to support risk assessment of nanomaterials
Gen Shao, Anna Beronius, Penny Nymark
Annals of the American Thoracic Society
|
April 21, 2018
Toxic and Genomic Influences of Inhaled Nanomaterials as a Basis for Predicting Adverse Outcome
Penny Nymark, Pekka Kohonen, Vesa Hongisto, et al.
Frontiers in Toxicology
|
March 17, 2022
Adverse Outcome Pathway Development for Assessment of Lung Carcinogenicity by Nanoparticles
Penny Nymark, Hanna L Karlsson, Sabina Halappanavar, et al.
Cancer Letters
|
March 28, 2008
Molecular and genetic changes in asbestos-related lung cancer
Penny Nymark, Harriet Wikman, Tuija Hienonen-Kempas, et al.
Nature Nanotechnology
|
December 24, 2021
Reply to: Prospects and challenges for FAIR toxicogenomics data
Roland Grafström, Andrea Haase, Pekka Kohonen, et al.
Frontiers in Toxicology
|
May 25, 2023
Development of a data-driven approach to Adverse Outcome Pathway network generation: a case study on the EATS-modalities
Linus Wiklund, Sara Caccia, Marek Pípal, et al.
Journal of Chemical Information and Modeling
|
December 28, 2017
toxFlow: A Web-Based Application for Read-Across Toxicity Prediction Using Omics and Physicochemical Data
Dimitra-Danai Varsou, Georgia Tsiliki, Penny Nymark, et al.
Journal of Cheminformatics
|
March 20, 2023
PROTEOMAS: a workflow enabling harmonized proteomic meta-analysis and proteomic signature mapping
Aileen Bahl, Celine Ibrahim, Kristina Plate, et al.
Cancer Research
|
June 3, 2006
Identification of specific gene copy number changes in asbestos-related lung cancer
Penny Nymark, Harriet Wikman, Salla Ruosaari, et al.
Small (Weinheim an Der Bergstrasse, Germany)
|
February 9, 2021
Non-Animal Strategies for Toxicity Assessment of Nanoscale Materials: Role of Adverse Outcome Pathways in the Selection of Endpoints
Sabina Halappanavar, Penny Nymark, Harald F Krug, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 50) with videos related to
Sort By:
Page
of 5
Frontiers in Toxicology
|
December 4, 2023
SciRAPnano: a pragmatic and harmonized approach for quality evaluation of <i>in vitro</i> toxicity data to support risk assessment of nanomaterials
Gen Shao, Anna Beronius, Penny Nymark
Annals of the American Thoracic Society
|
April 21, 2018
Toxic and Genomic Influences of Inhaled Nanomaterials as a Basis for Predicting Adverse Outcome
Penny Nymark, Pekka Kohonen, Vesa Hongisto, et al.
Frontiers in Toxicology
|
March 17, 2022
Adverse Outcome Pathway Development for Assessment of Lung Carcinogenicity by Nanoparticles
Penny Nymark, Hanna L Karlsson, Sabina Halappanavar, et al.
Cancer Letters
|
March 28, 2008
Molecular and genetic changes in asbestos-related lung cancer
Penny Nymark, Harriet Wikman, Tuija Hienonen-Kempas, et al.
Nature Nanotechnology
|
December 24, 2021
Reply to: Prospects and challenges for FAIR toxicogenomics data
Roland Grafström, Andrea Haase, Pekka Kohonen, et al.
Frontiers in Toxicology
|
May 25, 2023
Development of a data-driven approach to Adverse Outcome Pathway network generation: a case study on the EATS-modalities
Linus Wiklund, Sara Caccia, Marek Pípal, et al.
Journal of Chemical Information and Modeling
|
December 28, 2017
toxFlow: A Web-Based Application for Read-Across Toxicity Prediction Using Omics and Physicochemical Data
Dimitra-Danai Varsou, Georgia Tsiliki, Penny Nymark, et al.
Journal of Cheminformatics
|
March 20, 2023
PROTEOMAS: a workflow enabling harmonized proteomic meta-analysis and proteomic signature mapping
Aileen Bahl, Celine Ibrahim, Kristina Plate, et al.
Cancer Research
|
June 3, 2006
Identification of specific gene copy number changes in asbestos-related lung cancer
Penny Nymark, Harriet Wikman, Salla Ruosaari, et al.
Small (Weinheim an Der Bergstrasse, Germany)
|
February 9, 2021
Non-Animal Strategies for Toxicity Assessment of Nanoscale Materials: Role of Adverse Outcome Pathways in the Selection of Endpoints
Sabina Halappanavar, Penny Nymark, Harald F Krug, et al.
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of 5