Reproducibility of Results

David Pamies, Jason Ekert, Marie-Gabrielle Zurich, et al. Recommendations on fit-for-purpose criteria to establish quality management for microphysiological systems and for monitoring their reproducibility. Stem Cell Reports. 2024;19(5):604-617. doi:10.1016/j.stemcr.2024.03.009

Elijah J. Petersen, John T. Elliott, John Gordon, et al. Technical framework for enabling high quality measurements in new approach methodologies (NAMs). Alternatives to Animal Experimentation. 2023;40(1):174-186. doi:10.14573/altex.2205081

Judy Strickland, Jaleh Abedini, David G. Allen, et al. A database of human predictive patch test data for skin sensitization. Archives of Toxicology. 2023;97(11):2825-2837. doi:10.1007/s00204-023-03530-3

Claudia Günther, Beate Winner, Markus F. Neurath, Thaddeus S. Stappenbeck. Organoids in gastrointestinal diseases: from experimental models to clinical translation. Gut. 2022;71(9):1892-1908. doi:10.1136/gutjnl-2021-326560

Louisa Helms, Silvia Marchiano, Ian B. Stanaway, et al. Cross-validation of SARS-CoV-2 responses in kidney organoids and clinical populations. JCI insight. 2021;6(24):e154882. doi:10.1172/jci.insight.154882

Eric Vallabh Minikel, Konrad J. Karczewski, Hilary C. Martin, et al. Evaluating drug targets through human loss-of-function genetic variation. Nature. 2020;581(7809):459-464. doi:10.1038/s41586-020-2267-z

Thomas Hartung, Rob De Vries, Sebastian Hoffmann, et al. Toward Good In Vitro Reporting Standards. Alternatives to Animal Experimentation. 2019;36(1):3-17. doi:10.14573/altex.1812191

Lucy Meigs, Lena Smirnova, Costanza Rovida, Marcel Leist, Thomas Hartung. Animal testing and its alternatives - the most important omics is economics. Alternatives to Animal Experimentation. 2018;35(3):275-305. doi:10.14573/altex.1807041

Pandora Pound, Merel Ritskes-Hoitinga. Is it possible to overcome issues of external validity in preclinical animal research? Why most animal models are bound to fail. Journal of Translational Medicine. 2018;16(1):304. doi:10.1186/s12967-018-1678-1

Dorothée Diogo, Chao Tian, Christopher S. Franklin, et al. Phenome-wide association studies across large population cohorts support drug target validation. Nature Communications. 2018;9(1):4285. doi:10.1038/s41467-018-06540-3