Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies ; volume:4 ; number:1 ; day:3 ; month:1 ; year:2024 ; pages:1-12 ; date:12.2024
Communications medicine ; 4, Heft 1 (3.1.2024), 1-12, 12.2024
- Creator
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Aggarwal, Arpit
Khalighi, Sirvan
Babu, Deepak
Li, Haojia
Azarianpour-Esfahani, Sepideh
Corredor, Germán
Fu, Pingfu
Mokhtari, Mojgan
Pathak, Tilak
Thayer, Elizabeth
Modesitt, Susan
Mahdi, Haider
Avril, Stefanie
Madabhushi, Anant
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s43856-023-00428-0
- URN
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urn:nbn:de:101:1-2024031814020836260799
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:54 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Aggarwal, Arpit
- Khalighi, Sirvan
- Babu, Deepak
- Li, Haojia
- Azarianpour-Esfahani, Sepideh
- Corredor, Germán
- Fu, Pingfu
- Mokhtari, Mojgan
- Pathak, Tilak
- Thayer, Elizabeth
- Modesitt, Susan
- Mahdi, Haider
- Avril, Stefanie
- Madabhushi, Anant
- SpringerLink (Online service)
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Optimizing image guidance frequency and implications on margins for gynecologic malignancies
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Optimizing image guidance frequency and implications on margins for gynecologic malignancies
Immune-Mediated Dermatoses in Patients with Haematological Malignancies: A Comprehensive Review
Surface antigen expression on peripheral blood monocytes in women with gynecologic malignancies
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Gynecologic urology
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