Positive RT-PCR Test Results in Patients Recovered From COVID-19 Lan Lan, MD1;Dan Xu, MD1;Guangming Ye, MD2;et alChen Xia, MS3;Shaokang Wang, MS3;Yirong Li, MD, PhD2;Haibo Xu, MD, PhD1 Author AffiliationsArticle Information
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laboratory tests on platelet aggregation was negligible, the positive control group was composed of seven hospitalized patients under no anticoagulant therapy and with no abnormality confirmed by their coagulation tests (Supplementary Fig.3), which indicated prothrombin time international normalized ratio (PT...
"If you test positive for coronavirus, we urge you to inform your local health authorities so they can properly coordinate the response to this situation with the appropriate health authorities," AIPAC said. The virus h...
We use a cross-validation method to evaluate the performance of the proposed MKSC, and we can get the four expected results of true positive (TP), true negative (TN), false positive (FP), and false-negative (FN). True positive (TP) means that a COVID-19 patient is classified as CO...
Tens of thousands of inconclusive COVID test results from California's billion-dollar lab should be reported as positive, according to the FDA. The $1.7 billion dollar state lab contract requires test be FDA authorized. It isn't.
Positive RT-PCR Test Results in Discharged COVID-19 Patients: Reinfection or Residual?Background: The coronavirus disease-19 (COVID-19) is a highly infectious disease. Moreover, 14% of the discharged patients tested virus positive ... J Tao,Z Hu,J Liu,... 被引量: 0发表: 2020年 COVID...
According to the results obtained, the proposed deep learning model can detect COVID-19 positive cases within ≤ 2 s, faster than the currently used RT-PCR tests for the detection of COVID-19 cases. In their study, He et al. [25], in which they created a publicly available ...
Thus, we had the following two aims: (1) To assess the incidence and risk of doctor-diagnosed post-COVID condition for up to six months after positive test by characteristics of pre-existing poor health, socioeconomic and sociodemographic factors, and (2) to develop prediction models of ...