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Investigating the relationship between breast cancer risk factors and an AI-generated mammographic texture feature in the Nurses' Health Study II.

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Title: Investigating the relationship between breast cancer risk factors and an AI-generated mammographic texture feature in the Nurses' Health Study II.
Authors: Wu X; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA., Jiang S; Washington University School of Medicine in St. Louis, St. Louis, MO, USA., Ge A; University of Maryland School of Medicine, Baltimore, MD, USA., Turman C; Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA., Colditz G; Washington University School of Medicine in St. Louis, St. Louis, MO, USA., Tamimi RM; Population Health Sciences Department, Weill Cornell Medical School, New York, NY, USA.; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., Kraft P; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA. phillip.kraft@nih.gov.
Source: NPJ breast cancer [NPJ Breast Cancer] 2025 Dec 23; Vol. 12 (1), pp. 5. Date of Electronic Publication: 2025 Dec 23.
Publication Type: Journal Article
Journal Info: Publisher: Breast Cancer Research Foundation Country of Publication: United States NLM ID: 101674891 Publication Model: Electronic Cited Medium: Print ISSN: 2374-4677 (Print) Linking ISSN: 23744677 NLM ISO Abbreviation: NPJ Breast Cancer Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Investigating the relationship between breast cancer risk factors and an AI-generated mammographic texture feature in the Nurses' Health Study II.
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  Data: <searchLink fieldCode="AU" term="%22Wu+X%22">Wu X</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.<br /><searchLink fieldCode="AU" term="%22Jiang+S%22">Jiang S</searchLink>; Washington University School of Medicine in St. Louis, St. Louis, MO, USA.<br /><searchLink fieldCode="AU" term="%22Ge+A%22">Ge A</searchLink>; University of Maryland School of Medicine, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Turman+C%22">Turman C</searchLink>; Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Colditz+G%22">Colditz G</searchLink>; Washington University School of Medicine in St. Louis, St. Louis, MO, USA.<br /><searchLink fieldCode="AU" term="%22Tamimi+RM%22">Tamimi RM</searchLink>; Population Health Sciences Department, Weill Cornell Medical School, New York, NY, USA.; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Kraft+P%22">Kraft P</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA. phillip.kraft@nih.gov.
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  Data: <searchLink fieldCode="JN" term="%22101674891%22">NPJ breast cancer</searchLink> [NPJ Breast Cancer] 2025 Dec 23; Vol. 12 (1), pp. 5. <i>Date of Electronic Publication: </i>2025 Dec 23.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Breast+Cancer+Research+Foundation%22">Breast Cancer Research Foundation </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101674891 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2374-4677 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223744677%22">23744677 </searchLink><i>NLM ISO Abbreviation: </i>NPJ Breast Cancer <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1038/s41523-025-00870-4
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              Text: 2025 Dec 23
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