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COVID-19 through Adverse Outcome Pathways: Building networks to better understand the disease - 3rd CIAO AOP Design Workshop.
Clerbaux LA, Amigó N, Amorim MJ, Bal-Price A, Batista Leite S, Beronius A, Bezemer GFG, Bostroem AC, Carusi A, Coecke S, Concha R, Daskalopoulos EP, De Bernardi F, Edrosa E, Edwards SW, Filipovska J, Garcia-Reyero N, Gavins FNE, Halappanavar S, Hargreaves AJ, Hogberg HT, Huynh MT, Jacobson D, Josephs-Spaulding J, Kim YJ, Kong HJ, Krebs CE, Lam A, Landesmann B, Layton A, Lee YO, Macmillan DS, Mantovani A, Margiotta-Casaluci L, Martens M, Masereeuw R, Mayasich SA, Mei LM, Mortensen H, Munoz Pineiro A, Nymark P, Ohayon E, Ojasi J, Paini A, Parissis N, Parvatam S, Pistollato F, Sachana M, Sørli JB, Sullivan KM, Sund J, Tanabe S, Tsaioun K, Vinken M, Viviani L, Waspe J, Willett C, Wittwehr C. Clerbaux LA, et al. Among authors: nymark p. ALTEX. 2022;39(2):322–335. doi: 10.14573/altex.2112161. Epub 2022 Jan 3. ALTEX. 2022. PMID: 35032963 Free PMC article.
Adverse outcome pathways as a tool for the design of testing strategies to support the safety assessment of emerging advanced materials at the nanoscale.
Halappanavar S, van den Brule S, Nymark P, Gaté L, Seidel C, Valentino S, Zhernovkov V, Høgh Danielsen P, De Vizcaya A, Wolff H, Stöger T, Boyadziev A, Poulsen SS, Sørli JB, Vogel U. Halappanavar S, et al. Among authors: nymark p. Part Fibre Toxicol. 2020 May 25;17(1):16. doi: 10.1186/s12989-020-00344-4. Part Fibre Toxicol. 2020. PMID: 32450889 Free PMC article. Review.
Bioinformatics and machine learning to support nanomaterial grouping.
Bahl A, Halappanavar S, Wohlleben W, Nymark P, Kohonen P, Wallin H, Vogel U, Haase A. Bahl A, et al. Among authors: nymark p. Nanotoxicology. 2024 Jun;18(4):373-400. doi: 10.1080/17435390.2024.2368005. Epub 2024 Jul 1. Nanotoxicology. 2024. PMID: 38949108 Free article. Review.
51 results