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Mathieu Vinken

Showing results (231-240 of 290) with videos related to

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The Journal of Membrane Biology|February 26, 2016
Connexins, Pannexins, and Their Channels in Fibroproliferative DiseasesBruno Cogliati, Gregory Mennecier, Joost Willebrords, et al.
Regulatory Toxicology and Pharmacology : RTP|May 1, 2025
The Alarming Consequences of Workforce Reductions at the FDA, EPA, NIH and CDC in the United StatesMartin van den Berg, Daniel R Dietrich, Sonja von Aulock, et al.
Toxicology Letters|May 7, 2025
The Alarming Consequences of Workforce Reductions at the FDA, EPA, NIH and CDC in the United StatesMartin van den Berg, Daniel R Dietrich, Sonja von Aulock, et al.
ALTEX|February 7, 2025
Mapping physiology: A systems biology approach for the development of alternative methods in toxicologyBernard Staumont, Luiz Ladeira, Alessio Gamba, et al.
Archives of Toxicology|July 1, 2019
Characterizing the coverage of critical effects relevant in the safety evaluation of food additives by AOPsNynke I Kramer, Yvette Hoffmans, Siyao Wu, et al.
Archives of Toxicology|June 7, 2015
Experimental models of liver fibrosisSara Crespo Yanguas, Bruno Cogliati, Joost Willebrords, et al.
Cell Calcium|August 7, 2009
Ca(2+) regulation of connexin 43 hemichannels in C6 glioma and glial cellsElke De Vuyst, Nan Wang, Elke Decrock, et al.
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie|May 24, 2024
Corrigendum to "Novel clinical phenotypes, drug categorization, and outcome prediction in drug-induced cholestasis: Analysis of a database of 432 patients developed by literature review and machine learning support" [Biomed. Pharmacother. 174 (2024) 116530]Marta Moreno-Torres, Ernesto López-Pascual, Anna Rapisarda, et al.
Journal of Biomedical Informatics|August 4, 2023
Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approachJonas van Ertvelde, Anouk Verhoeven, Amy Maerten, et al.
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie|April 4, 2024
Novel clinical phenotypes, drug categorization, and outcome prediction in drug-induced cholestasis: Analysis of a database of 432 patients developed by literature review and machine learning supportMarta Moreno-Torres, Ernesto López-Pascual, Anna Rapisarda, et al.
Pageof 29

Showing results (231-240 of 290) with videos related to

Sort By:
Pageof 29
The Journal of Membrane Biology|February 26, 2016
Connexins, Pannexins, and Their Channels in Fibroproliferative DiseasesBruno Cogliati, Gregory Mennecier, Joost Willebrords, et al.
Regulatory Toxicology and Pharmacology : RTP|May 1, 2025
The Alarming Consequences of Workforce Reductions at the FDA, EPA, NIH and CDC in the United StatesMartin van den Berg, Daniel R Dietrich, Sonja von Aulock, et al.
Toxicology Letters|May 7, 2025
The Alarming Consequences of Workforce Reductions at the FDA, EPA, NIH and CDC in the United StatesMartin van den Berg, Daniel R Dietrich, Sonja von Aulock, et al.
ALTEX|February 7, 2025
Mapping physiology: A systems biology approach for the development of alternative methods in toxicologyBernard Staumont, Luiz Ladeira, Alessio Gamba, et al.
Archives of Toxicology|July 1, 2019
Characterizing the coverage of critical effects relevant in the safety evaluation of food additives by AOPsNynke I Kramer, Yvette Hoffmans, Siyao Wu, et al.
Archives of Toxicology|June 7, 2015
Experimental models of liver fibrosisSara Crespo Yanguas, Bruno Cogliati, Joost Willebrords, et al.
Cell Calcium|August 7, 2009
Ca(2+) regulation of connexin 43 hemichannels in C6 glioma and glial cellsElke De Vuyst, Nan Wang, Elke Decrock, et al.
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie|May 24, 2024
Corrigendum to "Novel clinical phenotypes, drug categorization, and outcome prediction in drug-induced cholestasis: Analysis of a database of 432 patients developed by literature review and machine learning support" [Biomed. Pharmacother. 174 (2024) 116530]Marta Moreno-Torres, Ernesto López-Pascual, Anna Rapisarda, et al.
Journal of Biomedical Informatics|August 4, 2023
Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approachJonas van Ertvelde, Anouk Verhoeven, Amy Maerten, et al.
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie|April 4, 2024
Novel clinical phenotypes, drug categorization, and outcome prediction in drug-induced cholestasis: Analysis of a database of 432 patients developed by literature review and machine learning supportMarta Moreno-Torres, Ernesto López-Pascual, Anna Rapisarda, et al.
Pageof 29