Multimodal Machine Learning Integrating Clinical and Proteomic Data for Early Prediction of Hypertensive Complications: A UKB Longitudinal Study.

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Title: Multimodal Machine Learning Integrating Clinical and Proteomic Data for Early Prediction of Hypertensive Complications: A UKB Longitudinal Study.
Authors: Fei Y; Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China., Liu S; School of Public Health Zunyi Medical University Zunyi Guizhou China., Tong T; Hainan International Medical Center Shanghai Jiao Tong University School of Medicine Hainan China., Zhang X; Nossal Institute for Global Health, School of Population and Global Health The University of Melbourne Melbourne Victoria Australia., Wang H; Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China., Liu J; School of Public Health Zunyi Medical University Zunyi Guizhou China.; Key Laboratory of Maternal and Child Health and Exposure Science Guizhou Provincial Department of Education Zunyi Guizhou China., Zheng X; Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.; Hainan International Medical Center Shanghai Jiao Tong University School of Medicine Hainan China.
Source: Journal of the American Heart Association [J Am Heart Assoc] 2026 Jun 16; Vol. 15 (12), pp. e048151. Date of Electronic Publication: 2026 Jun 15.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101580524 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2047-9980 (Electronic) Linking ISSN: 20479980 NLM ISO Abbreviation: J Am Heart Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Fei+Y%22">Fei Y</searchLink>; Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.<br /><searchLink fieldCode="AU" term="%22Liu+S%22">Liu S</searchLink>; School of Public Health Zunyi Medical University Zunyi Guizhou China.<br /><searchLink fieldCode="AU" term="%22Tong+T%22">Tong T</searchLink>; Hainan International Medical Center Shanghai Jiao Tong University School of Medicine Hainan China.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Nossal Institute for Global Health, School of Population and Global Health The University of Melbourne Melbourne Victoria Australia.<br /><searchLink fieldCode="AU" term="%22Wang+H%22">Wang H</searchLink>; Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.<br /><searchLink fieldCode="AU" term="%22Liu+J%22">Liu J</searchLink>; School of Public Health Zunyi Medical University Zunyi Guizhou China.; Key Laboratory of Maternal and Child Health and Exposure Science Guizhou Provincial Department of Education Zunyi Guizhou China.<br /><searchLink fieldCode="AU" term="%22Zheng+X%22">Zheng X</searchLink>; Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.; Hainan International Medical Center Shanghai Jiao Tong University School of Medicine Hainan China.
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  Data: <searchLink fieldCode="JN" term="%22101580524%22">Journal of the American Heart Association</searchLink> [J Am Heart Assoc] 2026 Jun 16; Vol. 15 (12), pp. e048151. <i>Date of Electronic Publication: </i>2026 Jun 15.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Blackwell%22">Wiley-Blackwell </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101580524 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2047-9980 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220479980%22">20479980 </searchLink><i>NLM ISO Abbreviation: </i>J Am Heart Assoc <i>Subsets: </i>MEDLINE
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        Value: 10.1161/JAHA.125.048151
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        Text: English
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      – TitleFull: Multimodal Machine Learning Integrating Clinical and Proteomic Data for Early Prediction of Hypertensive Complications: A UKB Longitudinal Study.
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              Text: 2026 Jun 16
              Type: published
              Y: 2026
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