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Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a biomarker in locally advanced unresectable thymic epithelial neoplasm: A single‐center, retrospective, longitudinal cohort study.

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Title: Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a biomarker in locally advanced unresectable thymic epithelial neoplasm: A single‐center, retrospective, longitudinal cohort study.
Authors: Kim, Dong Hyun1 (AUTHOR), Lim, Yoojoo2 (AUTHOR), Kim, Sukjun2 (AUTHOR), Ock, Chan‐Young2 (AUTHOR), Youk, Jeonghwan1,3 (AUTHOR), Kim, Miso1,3 (AUTHOR), Kim, Tae Min1,3 (AUTHOR), Kim, Dong‐Wan1,3 (AUTHOR), Kim, Hak Jae4 (AUTHOR), Koh, Jiwon5 (AUTHOR), Jung, Kyeong Cheon5 (AUTHOR), Na, Kwon Joong6 (AUTHOR), Kang, Chang Hyun6 (AUTHOR), Keam, Bhumsuk1,3 (AUTHOR) bhumsuk@snu.ac.kr
Source: Thoracic Cancer. Oct2023, Vol. 14 Issue 30, p3001-3011. 11p.
Database: Academic Search Ultimate
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An: 173181977
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  Data: Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a biomarker in locally advanced unresectable thymic epithelial neoplasm: A single‐center, retrospective, longitudinal cohort study.
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  Data: <searchLink fieldCode="JN" term="%22Thoracic+Cancer%22">Thoracic Cancer</searchLink>. Oct2023, Vol. 14 Issue 30, p3001-3011. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=173181977
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        Value: 10.1111/1759-7714.15089
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      – Code: eng
        Text: English
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        PageCount: 11
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      – TitleFull: Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a biomarker in locally advanced unresectable thymic epithelial neoplasm: A single‐center, retrospective, longitudinal cohort study.
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              Text: Oct2023
              Type: published
              Y: 2023
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