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Artificial replication cohort: Leveraging AI-fabricated data for genetic studies.

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Title: Artificial replication cohort: Leveraging AI-fabricated data for genetic studies.
Authors: Smyk W; Department of Gastroenterology and Hepatology, Medical University of Gdansk, Gdansk, Poland., Adrych K; Department of Gastroenterology and Hepatology, Medical University of Gdansk, Gdansk, Poland., Krawczyk M; Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany.; Laboratory of Metabolic Liver Diseases, Center for Preclinical Research, Department of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland.
Source: Liver international : official journal of the International Association for the Study of the Liver [Liver Int] 2024 Jun; Vol. 44 (6), pp. 1286-1289. Date of Electronic Publication: 2024 Mar 01.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 101160857 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1478-3231 (Electronic) Linking ISSN: 14783223 NLM ISO Abbreviation: Liver Int Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Smyk+W%22">Smyk W</searchLink>; Department of Gastroenterology and Hepatology, Medical University of Gdansk, Gdansk, Poland.<br /><searchLink fieldCode="AU" term="%22Adrych+K%22">Adrych K</searchLink>; Department of Gastroenterology and Hepatology, Medical University of Gdansk, Gdansk, Poland.<br /><searchLink fieldCode="AU" term="%22Krawczyk+M%22">Krawczyk M</searchLink>; Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany.; Laboratory of Metabolic Liver Diseases, Center for Preclinical Research, Department of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland.
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  Data: <searchLink fieldCode="JN" term="%22101160857%22">Liver international : official journal of the International Association for the Study of the Liver</searchLink> [Liver Int] 2024 Jun; Vol. 44 (6), pp. 1286-1289. <i>Date of Electronic Publication: </i>2024 Mar 01.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Blackwell%22">Wiley-Blackwell </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101160857 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1478-3231 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214783223%22">14783223 </searchLink><i>NLM ISO Abbreviation: </i>Liver Int <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38426626
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        Value: 10.1111/liv.15890
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      – Code: eng
        Text: English
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        StartPage: 1286
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      – TitleFull: Artificial replication cohort: Leveraging AI-fabricated data for genetic studies.
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            NameFull: Smyk W
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            NameFull: Adrych K
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            – D: 01
              M: 06
              Text: 2024 Jun
              Type: published
              Y: 2024
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              Value: 44
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            – TitleFull: Liver international : official journal of the International Association for the Study of the Liver
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