Deep Learning Model for Predicting Airway Organoid Differentiation-Reference-Cited by-同舟云学术

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Deep Learning Model for Predicting Airway Organoid Differentiation

Published:2023-08-18 Issue:7 Volume:20 Page:1109-1117
ISSN:1738-2696
Container-title:Tissue Engineering and Regenerative Medicine
language:en
Short-container-title:Tissue Eng Regen Med

Author:

Lim Mi Hyun,Shin Seungmin,Park Keonhyeok,Park Jaejung,Kim Sung Won,Basurrah Mohammed Abdullah,Lee Seungchul,Kim Do Hyun^ORCID

Funder

National Research Foundation of Korea

Ministry of Trade, Industry and Energy

Korean Fund for Regenerative Medicine

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Medicine (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s13770-023-00563-8.pdf

Reference27 articles.

1. Kitaeva KV, Rutland CS, Rizvanov AA, Solovyeva VV. Cell culture based in vitro test systems for anticancer drug screening. Front Bioeng Biotechnol. 2020;8:322.

2. Shanbhag A, Rabel S, Nauka E, Casadevall G, Shivanand P, Eichenbaum G, et al. Method for screening of solid dispersion formulations of low-solubility compounds–miniaturization and automation of solvent casting and dissolution testing. Int J Pharm. 2008;351:209–18.

3. Knouse KA, Lopez KE, Bachofner M, Amon A. Chromosome segregation fidelity in epithelia requires tissue architecture. Cell. 2018;175:200–211.e13.

4. Yamada KM, Cukierman E. Modeling tissue morphogenesis and cancer in 3D. Cell. 2007;130:601–10.

5. Tuveson D, Clevers H. Cancer modeling meets human organoid technology. Science. 2019;364:952–5.

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