Population Cohort-Validated PM2.5-Induced Gene Signatures: A Machine Learning Approach to Individual Exposure Prediction.

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Title: Population Cohort-Validated PM2.5-Induced Gene Signatures: A Machine Learning Approach to Individual Exposure Prediction.
Authors: Wei YC; Graduate Institute of Statistics and Information Science, National Changhua University of Education, Changhua City 500207, Taiwan., Cheng WC; Institute of Medical Sciences, Tzu Chi University, Hualien City 970374, Taiwan., Lin P; National Institute of Environmental Health Sciences, National Health Research Institutes, Zhunan 35041, Taiwan., Zhang ZY; Institute of Biomedical Sciences and Engineering, Tzu Chi University, Hualien City 970374, Taiwan., Chen CH; Department of Environmental and Occupational Medicine, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei 100225, Taiwan., Wu CD; National Institute of Environmental Health Sciences, National Health Research Institutes, Zhunan 35041, Taiwan.; Department of Geomatics, College of Engineering, National Cheng Kung University, Tainan 701401, Taiwan.; Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung 807378, Taiwan.; Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung 402202, Taiwan., Guo YL; National Institute of Environmental Health Sciences, National Health Research Institutes, Zhunan 35041, Taiwan.; Department of Environmental and Occupational Medicine, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei 100225, Taiwan.; Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, Taipei 106319, Taiwan., Wang HJ; Institute of Medical Sciences, Tzu Chi University, Hualien City 970374, Taiwan.; Institute of Biomedical Sciences and Engineering, Tzu Chi University, Hualien City 970374, Taiwan.; Doctoral Degree Program in Translational Medicine, Tzu Chi University and Academia Sinica, Hualien 97004, Taiwan.
Source: Toxics [Toxics] 2025 Jun 30; Vol. 13 (7). Date of Electronic Publication: 2025 Jun 30.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101639637 Publication Model: Electronic Cited Medium: Internet ISSN: 2305-6304 (Electronic) Linking ISSN: 23056304 NLM ISO Abbreviation: Toxics Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Population Cohort-Validated PM<subscript>2.5</subscript>-Induced Gene Signatures: A Machine Learning Approach to Individual Exposure Prediction.
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  Data: <searchLink fieldCode="AU" term="%22Wei+YC%22">Wei YC</searchLink>; Graduate Institute of Statistics and Information Science, National Changhua University of Education, Changhua City 500207, Taiwan.<br /><searchLink fieldCode="AU" term="%22Cheng+WC%22">Cheng WC</searchLink>; Institute of Medical Sciences, Tzu Chi University, Hualien City 970374, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+P%22">Lin P</searchLink>; National Institute of Environmental Health Sciences, National Health Research Institutes, Zhunan 35041, Taiwan.<br /><searchLink fieldCode="AU" term="%22Zhang+ZY%22">Zhang ZY</searchLink>; Institute of Biomedical Sciences and Engineering, Tzu Chi University, Hualien City 970374, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chen+CH%22">Chen CH</searchLink>; Department of Environmental and Occupational Medicine, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei 100225, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wu+CD%22">Wu CD</searchLink>; National Institute of Environmental Health Sciences, National Health Research Institutes, Zhunan 35041, Taiwan.; Department of Geomatics, College of Engineering, National Cheng Kung University, Tainan 701401, Taiwan.; Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung 807378, Taiwan.; Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung 402202, Taiwan.<br /><searchLink fieldCode="AU" term="%22Guo+YL%22">Guo YL</searchLink>; National Institute of Environmental Health Sciences, National Health Research Institutes, Zhunan 35041, Taiwan.; Department of Environmental and Occupational Medicine, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei 100225, Taiwan.; Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, Taipei 106319, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wang+HJ%22">Wang HJ</searchLink>; Institute of Medical Sciences, Tzu Chi University, Hualien City 970374, Taiwan.; Institute of Biomedical Sciences and Engineering, Tzu Chi University, Hualien City 970374, Taiwan.; Doctoral Degree Program in Translational Medicine, Tzu Chi University and Academia Sinica, Hualien 97004, Taiwan.
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  Data: <searchLink fieldCode="JN" term="%22101639637%22">Toxics</searchLink> [Toxics] 2025 Jun 30; Vol. 13 (7). <i>Date of Electronic Publication: </i>2025 Jun 30.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101639637 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2305-6304 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223056304%22">23056304 </searchLink><i>NLM ISO Abbreviation: </i>Toxics <i>Subsets: </i>PubMed not MEDLINE
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      – Type: doi
        Value: 10.3390/toxics13070562
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        Text: English
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      – TitleFull: Population Cohort-Validated PM2.5-Induced Gene Signatures: A Machine Learning Approach to Individual Exposure Prediction.
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              Text: 2025 Jun 30
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