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. |
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| 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 |
| ISSN: | 1879-0534 |
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| DOI: | 10.1016/j.compbiomed.2025.110877 |
