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Full-Text Articles in Medicine and Health Sciences
Diagnostic Accuracy Of Autoverification And Guidance System For Covid-19 Rt-Pcr Results, Yingmu Cai, Mengyu Liu, Zhiyuan Wu, Cuihong Tian, Song Qiu, Zhen Li, Feng Xu, Wei Li, Yan Zheng, Aijuan Xu, Longxu Xie, Xuerui Tan
Diagnostic Accuracy Of Autoverification And Guidance System For Covid-19 Rt-Pcr Results, Yingmu Cai, Mengyu Liu, Zhiyuan Wu, Cuihong Tian, Song Qiu, Zhen Li, Feng Xu, Wei Li, Yan Zheng, Aijuan Xu, Longxu Xie, Xuerui Tan
Research outputs 2022 to 2026
Background:
To date, most countries worldwide have declared that the pandemic of COVID-19 is over, while the WHO has not officially ended the COVID-19 pandemic, and China still insists on the personalized dynamic COVID-free policy. Large-scale nucleic acid testing in Chinese communities and the manual interpretation for SARS-CoV-2 nucleic acid detection results pose a huge challenge for labour, quality and turnaround time (TAT) requirements. To solve this specific issue while increase the efficiency and accuracy of interpretation, we created an autoverification and guidance system (AGS) that can automatically interpret and report the COVID-19 reverse transcriptase-polymerase chain reaction (RT-PCR) results relaying …
Genetic And Immunological Insights Into Covid-19 With Acute Myocardial Infarction: Integrated Analysis Of Mendelian Randomization, Transcriptomics, And Clinical Samples, Zequn Zheng, Yueran Zhou, Yongfei Song, Pengxiang Ying, Xuerui Tan
Genetic And Immunological Insights Into Covid-19 With Acute Myocardial Infarction: Integrated Analysis Of Mendelian Randomization, Transcriptomics, And Clinical Samples, Zequn Zheng, Yueran Zhou, Yongfei Song, Pengxiang Ying, Xuerui Tan
Research outputs 2022 to 2026
Background: Globally, most deaths result from cardiovascular diseases, particularly ischemic heart disease. COVID-19 affects the heart, worsening existing heart conditions and causing myocardial injury. The mechanistic link between COVID-19 and acute myocardial infarction (AMI) is still being investigated to elucidate the underlying molecular perspectives. Methods: Genetic risk assessment was conducted using two-sample Mendelian randomization (TSMR) to determine the causality between COVID-19 and AMI. Weighted gene co-expression network analysis (WGCNA) and machine learning were used to discover and validate shared hub genes for the two diseases using bulk RNA sequencing (RNA-seq) datasets. Additionally, gene set enrichment analysis (GSEA) and single-cell RNA-seq …