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Biosafety and health
Apr, 2023;5 (2): 78-88.

Towards precision medicine: Omics approach for COVID-19.

Xiaoping Cen, Fengao Wang, Xinhe Huang, Dragomirka Jovic, Fred Dubee, Huanming Yang, Yixue Li
Author Information
  1. Xiaoping Cen: College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
  2. Fengao Wang: Guangzhou Laboratory, No. 9 XingDaoHuanBei Road, Guangzhou International Bio Island, Guangzhou 510005, China.
  3. Xinhe Huang: Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
  4. Dragomirka Jovic: BGI-Shenzhen, Shenzhen 518083, China.
  5. Fred Dubee: Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, Qingdao 266555, China.
  6. Huanming Yang: College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
  7. Yixue Li: Guangzhou Laboratory, No. 9 XingDaoHuanBei Road, Guangzhou International Bio Island, Guangzhou 510005, China.
PMID: 36687209 DOI: 10.1016/j.bsheal.2023.01.002

Abstract

The coronavirus disease 2019 (COVID-19) pandemic had a devastating impact on human society. Beginning with genome surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the development of omics technologies brought a clearer understanding of the complex SARS-CoV-2 and COVID-19. Here, we reviewed how omics, including genomics, proteomics, single-cell multi-omics, and clinical phenomics, play roles in answering biological and clinical questions about COVID-19. Large-scale sequencing and advanced analysis methods facilitate COVID-19 discovery from virus evolution and severity risk prediction to potential treatment identification. Omics would indicate precise and globalized prevention and medicine for the COVID-19 pandemic under the utilization of big data capability and phenotypes refinement. Furthermore, decoding the evolution rule of SARS-CoV-2 by deep learning models is promising to forecast new variants and achieve more precise data to predict future pandemics and prevent them on time.

Keywords

Artificial intelligence COVID-19 Multi-omics Precision medicine

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