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Artificial intelligence for precision viral surveillance of emerging infectious disease (EID): Data-driven digital twin metaverse-envisioned study.

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Title: Artificial intelligence for precision viral surveillance of emerging infectious disease (EID): Data-driven digital twin metaverse-envisioned study.
Authors: Lin TY; Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan., Ming-Fang Yen A; School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan., Li-Sheng Chen S; School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan., Hsu CY; Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan; Daichung Hospital, Miaoli, Taiwan., Yeh YP; Changhua County Public Health Bureau, Changhua, Taiwan., Hsiu-Hsi Chen T; Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan. Electronic address: chenlin@ntu.edu.tw.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Sep; Vol. 196 (Pt C), pp. 110877. Date of Electronic Publication: 2025 Aug 06.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Artificial intelligence for precision viral surveillance of emerging infectious disease (EID): Data-driven digital twin metaverse-envisioned study.
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  Data: <searchLink fieldCode="AU" term="%22Lin+TY%22">Lin TY</searchLink>; Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Ming-Fang+Yen+A%22">Ming-Fang Yen A</searchLink>; School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Li-Sheng+Chen+S%22">Li-Sheng Chen S</searchLink>; School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Hsu+CY%22">Hsu CY</searchLink>; Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan; Daichung Hospital, Miaoli, Taiwan.<br /><searchLink fieldCode="AU" term="%22Yeh+YP%22">Yeh YP</searchLink>; Changhua County Public Health Bureau, Changhua, Taiwan.<br /><searchLink fieldCode="AU" term="%22Hsiu-Hsi+Chen+T%22">Hsiu-Hsi Chen T</searchLink>; Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan. Electronic address: chenlin@ntu.edu.tw.
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  Data: <searchLink fieldCode="JN" term="%221250250%22">Computers in biology and medicine</searchLink> [Comput Biol Med] 2025 Sep; Vol. 196 (Pt C), pp. 110877. <i>Date of Electronic Publication: </i>2025 Aug 06.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>1250250 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0534 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200104825%22">00104825 </searchLink><i>NLM ISO Abbreviation: </i>Comput Biol Med <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.compbiomed.2025.110877
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