Humans

Raphaël Jeger-Madiot, Delphine Planas, Isabelle Staropoli, et al. Modeling memory B cell responses in a lymphoid organ-chip to evaluate mRNA vaccine boosting. The Journal of Experimental Medicine. 2024;221(10):e20240289. doi:10.1084/jem.20240289

Lisa Sikkema, Ciro Ramírez-Suástegui, Daniel C. Strobl, et al. An integrated cell atlas of the lung in health and disease. Nature Medicine. 2023;29(6):1563-1577. doi:10.1038/s41591-023-02327-2

Naira Baregamian, Konjeti R. Sekhar, Evan S. Krystofiak, et al. Engineering functional 3-dimensional patient-derived endocrine organoids for broad multiplatform applications. Surgery. 2023;173(1):67-75. doi:10.1016/j.surg.2022.09.027

Vibeke Fosse, Emanuela Oldoni, Florence Bietrix, et al. Recommendations for robust and reproducible preclinical research in personalised medicine. BMC Medicine. 2023;21:14. doi:10.1186/s12916-022-02719-0

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

Elo Madissoon, Amanda J. Oliver, Vitalii Kleshchevnikov, et al. A spatially resolved atlas of the human lung characterizes a gland-associated immune niche. Nature Genetics. 2023;55(1):66-77. doi:10.1038/s41588-022-01243-4

Luciana Simões Rafagnin Marinho, Gabrielly Maria Denadai Chiarantin, Juliane Midori Ikebara, et al. The impact of antidepressants on human neurodevelopment: Brain organoids as experimental tools. Seminars in Cell & Developmental Biology. 2023;144:67-76. doi:10.1016/j.semcdb.2022.09.007

Catharine E. Krebs, Celean Camp, Helder Constantino, et al. Proceedings of a workshop to address animal methods bias in scientific publishing. Alternatives to Animal Experimentation. 2023;40(4):677-688. doi:10.14573/altex.2210211

Kyungtae Lim, Alex P. A. Donovan, Walfred Tang, et al. Organoid modeling of human fetal lung alveolar development reveals mechanisms of cell fate patterning and neonatal respiratory disease. Cell Stem Cell. 2023;30(1):20-37.e9. doi:10.1016/j.stem.2022.11.013

Pauric Bannigan, Zeqing Bao, Riley J. Hickman, et al. Machine learning models to accelerate the design of polymeric long-acting injectables. Nature Communications. 2023;14(1):35. doi:10.1038/s41467-022-35343-w