Lab-on-a-chip

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Moritz Hofer, Maria A. Duque-Correa, Matthias P. Lutolf. Patterned gastrointestinal monolayers with bilateral access as observable models of parasite gut infection. Nature Biomedical Engineering. 2024:1-11. doi:10.1038/s41551-024-01313-4
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Rodi Kado Abdalkader, Romanas Chaleckis, Takuya Fujita, Ken-ichiro Kamei. Modeling dry eye with an air–liquid interface in corneal epithelium-on-a-chip. Scientific Reports. 2024;14:4185. doi:10.1038/s41598-024-54736-z
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Yaqi Sheng, Yan Yan Shery Huang. Cryopreservation of in vitro human tissue models. Nature Reviews Bioengineering. 2024:1-3. doi:10.1038/s44222-024-00261-7
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Akina Mori, Marjolein Vermeer, Lenie J. van den Broek, et al. High-throughput Bronchus-on-a-Chip system for modeling the human bronchus. Scientific Reports. 2024;14(1):26248. doi:10.1038/s41598-024-77665-3
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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
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Isabel Koh, Masaya Hagiwara. Gradient to sectioning CUBE workflow for the generation and imaging of organoids with localized differentiation. Communications Biology. 2023;6(1):1-10. doi:10.1038/s42003-023-04694-5
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Jiandong Yang, Yoshikazu Hirai, Kei Iida, et al. Integrated-gut-liver-on-a-chip platform as an in vitro human model of non-alcoholic fatty liver disease. Communications Biology. 2023;6(1):1-14. doi:10.1038/s42003-023-04710-8
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Eliana Steinberg, Roy Friedman, Yoel Goldstein, et al. A fully 3D-printed versatile tumor-on-a-chip allows multi-drug screening and correlation with clinical outcomes for personalized medicine. Communications Biology. 2023;6(1):1-14. doi:10.1038/s42003-023-05531-5
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David M. Stresser, Anna K. Kopec, Philip Hewitt, et al. Towards in vitro models for reducing or replacing the use of animals in drug testing. Nature Biomedical Engineering. 2023:1-6. doi:10.1038/s41551-023-01154-7
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Nina Vogt. Modeling multi-organ systems on a chip. Nature Methods. 2022;19(6):641-641. doi:10.1038/s41592-022-01533-z
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