Experimental models of disease

Jihao Xu, Minh Duc Pham, Vincenzo Corbo, et al. Advancing pancreatic cancer research and therapeutics: the transformative role of organoid technology. Experimental & Molecular Medicine. 2025:1-9. doi:10.1038/s12276-024-01378-w

Mattia Ballerini, Serena Galiè, Punit Tyagi, et al. A gut-on-a-chip incorporating human faecal samples and peristalsis predicts responses to immune checkpoint inhibitors for melanoma. Nature Biomedical Engineering. 2025:1-18. doi:10.1038/s41551-024-01318-z

Keitaro Kanie, Takeshi Ito, Genzo Iguchi, et al. Modeling of T cell-mediated autoimmune pituitary disease using human induced pluripotent stem cell-originated organoid. Nature Communications. 2025;16(1):7900. doi:10.1038/s41467-025-63183-x

Gat Rauner, Piyush B. Gupta, Charlotte Kuperwasser. From 2D to 3D and beyond: the evolution and impact of in vitro tumor models in cancer research. Nature Methods. 2025:1-12. doi:10.1038/s41592-025-02769-1

Mattia Francesco Maria Gerli, Giuseppe Calà, Max Arran Beesley, et al. Single-cell guided prenatal derivation of primary fetal epithelial organoids from human amniotic and tracheal fluids. Nature Medicine. 2024:1-13. doi:10.1038/s41591-024-02807-z

Zohreh Izadifar, Justin Cotton, Siyu Chen, et al. Mucus production, host-microbiome interactions, hormone sensitivity, and innate immune responses modeled in human cervix chips. Nature Communications. 2024;15(1):4578. doi:10.1038/s41467-024-48910-0

Min Jae Song, Russ Quinn, Eric Nguyen, et al. Bioprinted 3D outer retina barrier uncovers RPE-dependent choroidal phenotype in advanced macular degeneration. Nature Methods. 2023;20(1):149-161. doi:10.1038/s41592-022-01701-1

Robert Phillips. Progress toward ‘bone-on-a-chip’. Nature Reviews Rheumatology. 2023:1-1. doi:10.1038/s41584-023-00998-2

Daniel Reumann, Christian Krauditsch, Maria Novatchkova, et al. In vitro modeling of the human dopaminergic system using spatially arranged ventral midbrain–striatum–cortex assembloids. Nature Methods. 2023;20:2034-2047. doi:10.1038/s41592-023-02080-x

Jack W. Scannell, James Bosley, John A. Hickman, et al. Predictive validity in drug discovery: what it is, why it matters and how to improve it. Nature Reviews Drug Discovery. 2022;21(12):915-931. doi:10.1038/s41573-022-00552-x