PubMed COVID-19 Clinical Care

We report the case of a female patient with a SARS-CoV-2 infection first diagnosed at 32 2/7 weeks of gestation, resulting in stillbirth at 33 5/7 weeks of gestation. Post partum the patient presented with severe and persistent haemolysis, mild

The appropriate immunosurveillance tools are foundational for the creation of therapeutics, vaccines, and containment strategies when faced with outbreaks of novel pathogens. During the COVID-19 pandemic, there was an urgent need to rapidly assess

CONCLUSION: It is vital that we encourage the uptake of regular vaccination schedules as a means to protect our community, especially the critical frontline workers that have been caring for our young children.

Protein kinase CK2 (CK2) is involved in the suppression of gene expression, protein synthesis, cell proliferation, and apoptosis, thus making it a target protein for the development of therapeutics toward cancer, nephritis, and coronavirus disease

CONCLUSIONS: The anterior nasal test was the preferred testing method by students and staff, although preference varied by age group. Willingness to perform both tests again in the future was high. Identifying the preferred testing modality is

CONCLUSIONS: The COVID-19 pandemic has had a lasting impact on deaths due to respiratory diseases and certain specific causes of death in 2021, and it has disproportionately affected certain regions.

No abstract

BACKGROUND: Vaccine-induced immune thrombotic thrombocytopenia (VITT) is a rare complication of adenoviral vector-based vaccines against the SARS-CoV-2 virus. The syndrome is caused by antibodies against platelet factor 4 (PF4, CXCL4) that lead to

The SARS-CoV-2 Omicron variant harbours many mutations in its spike protein compared to the original SARS-CoV-2 strain, which may alter its ability to enter cells, cell tropism, and response to interventions blocking virus entry. To elucidate these

As healthcare data becomes increasingly available from various sources, including clinical institutions, patients, insurance companies, and pharmaceutical industries, machine learning (ML) services are becoming more significant in healthcare-facing