Dr D.G.J. Jennen

Houweling, J. M., Arras, M. M. L., Willighagen, E. L., Jennen, D. G. J., Evelo, C. T., & Kienhuis, A. S. (2026). ToxTempAssistant: : using large language models to standardise cell-based toxicological test method descriptions. Evidence-Based Toxicology, 4(1). Advance online publication. https://doi.org/10.1080/2833373X.2026.2638036

Bwanya, B., Verheijen, M. C. T., Hauser, D., de Kok, T. M., Jennen, D. G. J., van den Beucken, T., & Caiment, F. (2026). Single-cell transcriptomics of acetaminophen-induced responses in human 2D and 3D liver microtissues. Archives of Toxicology, 100(4), 1411-1424. https://doi.org/10.1007/s00204-025-04296-6

Goldring, C. E., Russomanno, G., Pin, C., Trairatphisan, P., Beattie, K. A., Fisher, C. P., Pinero, J., Brennan, R. J., Clausznitzer, D., Copple, I. M., de Kok, T. M., Duckworth, C. A., Furlong, L. I., Fuzi, B., Gabor, A., Gall, L., Hengstler, J., Hermjakob, H., Hunter, F., ... Laplanche, L. (2026). Quantitative systems toxicology: modelling to mechanistically understand and predict drug safety. Nature Reviews Drug Discovery, 25(2), 138-153. https://doi.org/10.1038/s41573-025-01308-z

Froetschl, R., Corton, J. C., Li, H., Aubrecht, J., Auerbach, S. S., Caiment, F., Doktorova, T. Y., Fujita, Y., Jennen, D., Koyama, N., Meier, M. J., Mezencev, R., Recio, L., Suzuki, T., & Yauk, C. L. (2025). Consensus findings of an International Workshops on Genotoxicity Testing workshop on using transcriptomic biomarkers to predict genotoxicity. Environmental and Molecular Mutagenesis, 66(S2), 31-46. Article 22645. https://doi.org/10.1002/em.22645

Meier, M. J., Caiment, F., Corton, J. C., Froetschl, R., Fujita, Y., Jennen, D., Mezencev, R., & Yauk, C. (2025). Outcome of IWGT workshop on transcriptomic biomarkers for genotoxicity: Key considerations for bioinformatics. Environmental and Molecular Mutagenesis, 66(S2), 71-80. https://doi.org/10.1002/em.22644

Li, H.-H., Aubrecht, J., Doktorova, T. Y., Jennen, D., Corton, J. C., Froetschl, R., Mezencev, R., & Yauk, C. L. (2025). Review of Transcriptomic Biomarkers That Predict In Vitro Genotoxicity in Human Cell Lines. Environmental and Molecular Mutagenesis, 66(S2), 47-57. https://doi.org/10.1002/em.70004

Jiang, J., van Ertvelde, J., Ertaylan, G., Peeters, R., Jennen, D., de Kok, T., & Vinken, M. (2025). Leveraging artificial intelligence and machine learning for predicting chemical-induced cholestasis. Toxicology Letters, 411. https://doi.org/10.1016/j.toxlet.2025.07.129

Bwanya, B., Lodhi, S., de Kok, T. M., Ladeira, L., Verheijen, M. C., Jennen, D. G., & Caiment, F. (2025). Machine learning classification of steatogenic compounds using toxicogenomics profiles. Toxicology, 517, Article 154237. https://doi.org/10.1016/j.tox.2025.154237

Diemar, M. G., Vinken, M., Teunis, M., Krul, C. A. M., Busquet, F., Zajac, J. D., Kandarova, H., Corvi, R., Rossi, M. Z., Kharina, A., Bryndum, L. S., Santillo, M., Bloch, D., Kucheryavenko, O., Panagiotakos, D., Rogiers, V., Beekhuijzen, M., Giusti, A., Najjar, A., ... Roggen, E. L. (2024). Report of the First ONTOX Stakeholder Network Meeting: Digging Under the Surface of ONTOX Together With the Stakeholders. ATLA-Alternatives to laboratory animals, 52(2), 117-131. https://doi.org/10.1177/02611929231225730

Donovan, S. D. O., Cavill, R., Wimmenauer, F., Lukas, A., Stumm, T., Smirnov, E., Lenz, M., Ertaylan, G., Jennen, D. G. J., van Riel, N. A. W., Driessens, K., Peeters, R. L. M., & de Kok, T. M. C. M. (2023). Application of transfer learning to predict drug-induced human in vivo gene expression changes using rat in vitro and in vivo data. PLOS ONE, 18(11), Article e0292030. https://doi.org/10.1371/journal.pone.0292030