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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ISSN:2305-6304
DOI:10.3390/toxics13070562