COVID-19-Omics Report: From Individual Omics Approaches to Precision Medicine
Citations Over Time
Abstract
During the COVID-19 pandemic, it became apparent that precision medicine relies heavily on biological multi-omics discoveries. High throughput omics technologies, such as host genomics, transcriptomics, proteomics, epigenomics, metabolomics/lipidomics, and microbiomics, have become an integral part of precision diagnostics. The large number of data generated by omics technologies allows for the identification of vulnerable demographic populations that are susceptible to poor disease outcomes. Additionally, these data help to pinpoint the omics-based biomarkers that are currently driving advancements in precision and preventive medicine, such as early diagnosis and disease prognosis, individualized treatments, and vaccination. This report summarizes COVID-19-omic studies, highlights the results of completed and ongoing omics investigations in individuals who have experienced severe disease outcomes, and examines the impact that repurposed/novel antiviral drugs, targeted immunotherapeutics, and vaccines have had on individual and public health.
Related Papers
- → Precision medicine in colorectal cancer: Leveraging multi-omics, spatial omics, and artificial intelligence(2024)45 cited
- → Integration of metabolomics and other omics: from microbes to microbiome(2024)24 cited
- → Emerging techniques in single-cell epigenomics and their applications to cancer research.(2018)40 cited
- → Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle(2021)17 cited
- → Multi-Omics and Machine Learning Applications in Precision Medicine(2018)7 cited