PubMed COVID-19 Clinical Care

Granuloma annulare (GA) is an inflammatory granulomatous skin disease of unknown etiology that is self-limiting in nature. However, it is hypothesized that trauma, medications, malignancy, viral infections, different vaccines, and hypersensitivity

CONCLUSIONS: This study demonstrates demographic differences in attitudes towards COVID-19 vaccination intentions and highlights the importance of promotional messages and initiatives that target more hesitant populations. These messages should

Research suggests that a heterogeneous media diet can foster more objective information evaluations, reducing issue polarization as a result. These findings beg the question: Can increased news heterogeneity reduce issue polarization around COVID-19

A 67-year-old woman with anti-neutrophil cytoplasmic autoantibody (ANCA)-associated vasculitis was not vaccinated against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and was on multiple immunosuppressive drugs. She was hospitalized

The harm and impact of the COVID-19 pandemic have highlighted the importance of fast, sensitive, and cost-effective virus detection methods. In this study, we developed a DNA aptamer sensor using nanoparticle-enhanced surface plasmon resonance

BACKGROUND: Despite effective vaccines against influenza, pneumococcus and COVID-19, uptake has been suboptimal.

The diagnosis of severe COVID-19 lung infection is important because it carries a higher risk for the patient and requires prompt treatment with oxygen therapy and hospitalization while those with less severe lung infection often stay on observation

Background and Objectives: The prevalence of inappropriate laboratory testing is believed to be high, but only a limited number of studies have reviewed medical charts to determine whether tests impact medical care. Materials and Methods: From the

Repurposing is a universal mechanism for innovation, from the evolution of feathers to the invention of Velcro tape. Repurposing is particularly attractive for drug development, given that it costs more than a billion dollars and takes longer than

CONCLUSION: The performance of the proposed model was comparable to centralized models while operating on large and heterogeneous multi-institutional datasets. In addition, the model was resistant to inference attacks, ensuring the privacy of shared