PubMed COVID-19 Clinical Care

Nonstructural protein 13 (nsp13), the helicase of SARS-CoV-2, has been shown to possess multiple functions that are essential for viral replication, and is considered an attractive target for the development of novel antivirals. We were initially

People from ethnic minority groups are at risk of adverse sequelae of COVID-19, but their vaccine acceptance and enrollment rates remain suboptimal. Diaspora communities are unique in that they continue to engage in epistemic networks related to

CONCLUSION: The effect of the COVID-19 pandemic on antenatal rates was significant for almost all the indicators studied. Future studies should focus on the impact of the pandemic on postnatal and immunization services on a national scale.

COVID-19 affects primarily the lung. However, several other systemic alterations, including muscle weakness, fatigue and myalgia have been reported and may contribute to the disease outcome. We hypothesize that changes in the neuromuscular system may

The current coronavirus disease 2019 (COVID-19) pneumonia pandemic, caused by the newly discovered coronavirus is a serious public health emergency and a highly infectious disease. Evidence to date suggests that there are groups of people who are at

BACKGROUND: There is a clinical need for therapeutics for COVID-19 patients with acute hypoxemic respiratory failure whose 60-day mortality remains at 30-50%. Aviptadil, a lung-protective neuropeptide, and remdesivir, a nucleotide prodrug of an

No abstract

Cellular cryo-electron tomography (cryo-ET) offers 3D snapshots at molecular resolution capturing pivotal steps during viral infection. However, tomogram quality depends on the vitrification level of the sample and its thickness. In addition

COVID-19 is now often moderate and self-recovering, but in a significant proportion of individuals, it is severe and deadly. Determining whether individuals are at high risk for serious disease or death is crucial for making appropriate treatment

CONCLUSION: This work aims to design a new deep neural network for highly accurate online recognition of medical images. The evaluation results show that the proposed framework can be considered an auxiliary device to help radiologists accurately