Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine.

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Title: Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine.
Authors: Hieromnimon, Hanna M.1 (AUTHOR), Dolezal, James2 (AUTHOR), Doytcheva, Kristina3 (AUTHOR), Howard, Frederick M.2 (AUTHOR), Kochanny, Sara2 (AUTHOR), Zhang, Zhenyu4 (AUTHOR), Grossman, Robert L.4 (AUTHOR), Tanager, Kevin3 (AUTHOR), Wang, Cindy3 (AUTHOR), Kather, Jakob Nikolas5,6,7 (AUTHOR), Izumchenko, Evgeny2 (AUTHOR), Cipriani, Nicole A.3 (AUTHOR), Fertig, Elana J.8,9 (AUTHOR), Pearson, Alexander T.2,10 (AUTHOR) alexander.pearson@bsd.uchicago.edu, Riesenfeld, Samantha J.2,10,11,12,13,14 (AUTHOR) sriesenfeld@uchicago.edu
Source: Genome Medicine. 8/7/2025, Vol. 17 Issue 1, p1-21. 21p.
Database: Academic Search Ultimate
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  Data: Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine.
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  Data: <searchLink fieldCode="JN" term="%22Genome+Medicine%22">Genome Medicine</searchLink>. 8/7/2025, Vol. 17 Issue 1, p1-21. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187190807
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              Text: 8/7/2025
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