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Artificial intelligence-detected HER2 strong-positive tumor proportion predicts FISH positivity and treatment response in breast cancer.

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Title: Artificial intelligence-detected HER2 strong-positive tumor proportion predicts FISH positivity and treatment response in breast cancer.
Authors: Song SG; Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea., Cho SI; Lunit, Seoul, Republic of Korea., Sim T; Lunit, Seoul, Republic of Korea., Shin S; Lunit, Seoul, Republic of Korea., Jung W; Lunit, Seoul, Republic of Korea., Shin J; Lunit, Seoul, Republic of Korea., Kim S; Lunit, Seoul, Republic of Korea., Song H; Lunit, Seoul, Republic of Korea., Pereira S; Lunit, Seoul, Republic of Korea., Yoo D; Lunit, Seoul, Republic of Korea., Baek SK; Department of Internal Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea., Na K; Department of Pathology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea., Jung M; Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea., Kim SW; Department of Pathology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
Source: PloS one [PLoS One] 2026 Jul 06; Vol. 21 (7), pp. e0352979. Date of Electronic Publication: 2026 Jul 06 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Artificial intelligence-detected HER2 strong-positive tumor proportion predicts FISH positivity and treatment response in breast cancer.
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  Data: <searchLink fieldCode="AU" term="%22Song+SG%22">Song SG</searchLink>; Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Cho+SI%22">Cho SI</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Sim+T%22">Sim T</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Shin+S%22">Shin S</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jung+W%22">Jung W</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Shin+J%22">Shin J</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Song+H%22">Song H</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Pereira+S%22">Pereira S</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yoo+D%22">Yoo D</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Baek+SK%22">Baek SK</searchLink>; Department of Internal Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Na+K%22">Na K</searchLink>; Department of Pathology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jung+M%22">Jung M</searchLink>; Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+SW%22">Kim SW</searchLink>; Department of Pathology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Jul 06; Vol. 21 (7), pp. e0352979. <i>Date of Electronic Publication: </i>2026 Jul 06 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42406760
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        Value: 10.1371/journal.pone.0352979
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              Text: 2026 Jul 06
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