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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, Maryland, USA., Jiang S; Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA., Ge A; University of Maryland School of Medicine, Baltimore, USA., Turman C; Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA., Colditz G; Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA., Tamimi RM; Population Health Sciences Department, Weill Cornell Medical School, New York, New York, USA.; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA., Kraft P; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2025 Feb 20. Date of Electronic Publication: 2025 Feb 20.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
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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, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Jiang+S%22">Jiang S</searchLink>; Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Ge+A%22">Ge A</searchLink>; University of Maryland School of Medicine, Baltimore, 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, Massachusetts, USA.<br /><searchLink fieldCode="AU" term="%22Colditz+G%22">Colditz G</searchLink>; Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Tamimi+RM%22">Tamimi RM</searchLink>; Population Health Sciences Department, Weill Cornell Medical School, New York, New York, USA.; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.<br /><searchLink fieldCode="AU" term="%22Kraft+P%22">Kraft P</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
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  Data: <searchLink fieldCode="JN" term="%22101767986%22">MedRxiv : the preprint server for health sciences</searchLink> [medRxiv] 2025 Feb 20. <i>Date of Electronic Publication: </i>2025 Feb 20.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101767986 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>NLM ISO Abbreviation: </i>medRxiv <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1101/2025.02.18.25322419
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        Text: English
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              Text: 2025 Feb 20
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