PubMed COVID-19 Clinical Care

CONCLUSIONS: Survey results identified specific concerns and strategies that may be used to address vaccine hesitancy in this at-risk population. Addressing vaccine hesitancy may improve vaccination rates and in turn reduce maternal mortality and

CONCLUSION: These data suggest that TeleNP is feasible and highly reliable in MS clinical practice.

Aberrant coagulation and thrombosis are associated with severe COVID-19 post-SARS-CoV-2 infection, yet the underlying mechanism remains obscure. Here we show that serum levels of SARS-CoV-2 envelope (E) protein are associated with coagulation

CONCLUSION: There was relatively increased number of adults reporting with red eye in 2020. Eye injuries were the most common among all years, followed by conjunctivitis and keratitis. Ocular problems, however, might be a primary or secondary COVID

The COVID-19 pandemic has resulted in significant worldwide morbidity and mortality. In this review, we examine the intricate relationships between COVID-19 and liver diseases. While respiratory manifestations of COVID-19 are well-known, its impact

BACKGROUND & OBJECTIVES: The COVID-19 pandemic exposed the strengths and weaknesses of the healthcare systems across the world. Many directives, guidelines and policies for pandemic control were laid down centrally for its implementation; however

CONCLUSION: Patients with primary headaches, post-COVID-19 headaches, or headaches following the previous dose, as well as vector-vaccine receivers and those with post-vaccination fever, were at increased risk of post-SARS-CoV-2-vaccination headaches

Over the last few years, the SARS-CoV-2 pandemic has made the need for rapid, affordable diagnostics more compelling than ever. While traditional laboratory diagnostics like PCR and well-plate ELISA are sensitive and specific, they can be costly and

No abstract

CONCLUSIONS: Population shift in the data is able to deteriorate differences of AI models performance. Update of the probability threshold together with the population shift seems to be valuable to preserve AI models performance without retraining