Predictive biosignatures for hospitalization in patients with virologically confirmed COVID-19
We successfully developed and validated a biosignature model of COVID-19 severe disease in virologically confirmed patients. The identified genomic variants provide new insights for infectious disease research and medical care.
Authors
- Yi‐Chu Liao (ORCID: https://orcid.org/0000-0002-9644-2086)
- Chen-Tsung Kuo
- Ping‐Hsing Tsai
- Kung‐Hao Liang (ORCID: https://orcid.org/0000-0002-7593-5965)
- Yuan-Chia Chu (ORCID: https://orcid.org/0000-0002-0997-5168)
- Zih-Kai Kao (ORCID: https://orcid.org/0000-0002-1662-3873)
- Tzu-Chun Wei (ORCID: https://orcid.org/0000-0001-5224-200X)
- Yi‐Chung Lee (ORCID: https://orcid.org/0000-0003-0102-164X)
- Chunyi Hsu (ORCID: https://orcid.org/0000-0001-9790-2542)
- Yi‐Chun Chen (ORCID: https://orcid.org/0000-0001-9435-8596)
- Chi‐Cheng Huang (ORCID: https://orcid.org/0000-0003-4378-4776)
- Hsin-Yi Huang (ORCID: https://orcid.org/0000-0001-5073-3323)
- Hsiang‐Ling Ho
- Yung-Hsiu Lu
- Shr‐Yun Chiou
- Yi‐Ching Liao
Institutions
- National Yang Ming Chiao Tung University (TW)
- National Taiwan University (TW)
- National Taipei University of Nursing and Health Science (TW)
- Taipei Veterans General Hospital (TW)
- Yuli Veterans Hospital (TW)
Publication Details
- Journal
- Journal of the Chinese Medical Association
- Published
- 2024-12-28
- DOI
- https://doi.org/10.1097/jcma.0000000000001203
- Citations
- 2
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 0.78
Funders
- Academia Sinica
- Taipei Veterans General Hospital
- National Science and Technology Council