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Understanding patient-derived tumor organoid growth through an integrated imaging and mathematical modeling framework.

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Title: Understanding patient-derived tumor organoid growth through an integrated imaging and mathematical modeling framework.
Authors: Gunnarsson, Einar Bjarki1,2 (AUTHOR), Kim, Seungil3 (AUTHOR), Choi, Brandon3,4 (AUTHOR), Schmid, J. Karl2 (AUTHOR), Kaura, Karn5 (AUTHOR), Lenz, Heinz-Josef4 (AUTHOR), Mumenthaler, Shannon M.3,4,6 (AUTHOR), Foo, Jasmine2 (AUTHOR) jyfoo@umn.edu
Source: PLoS Computational Biology. 8/2/2024, Vol. 20 Issue 8, p1-26. 26p.
Database: Academic Search Ultimate
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An: 178815341
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  Data: Understanding patient-derived tumor organoid growth through an integrated imaging and mathematical modeling framework.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 8/2/2024, Vol. 20 Issue 8, p1-26. 26p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=178815341
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        Value: 10.1371/journal.pcbi.1012256
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        Text: English
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      – TitleFull: Understanding patient-derived tumor organoid growth through an integrated imaging and mathematical modeling framework.
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              Text: 8/2/2024
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