PubMed COVID-19 Clinical Care

We investigated the humoral response to the Pfizer-BioNTech COVID-19 (BNT162b2) vaccine in patients with myasthenia gravis on or off immunosuppressants and compared this to the response in healthy individuals. The SARS-CoV-2 IgG response and

No abstract

During the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, multiple variants escaping preexisting immunity emerged, causing reinfections of previously exposed individuals. Here, we used antigenic cartography to analyze patterns

Like many other countries, the economy and society of Japan have been severely affected by the COVID-19 outbreak, and the fishery sector particularly seafood is no exception. Among seafood, since luxury seafood is more commonly consumed at

CONCLUSION: Even though clinical and laboratory characteristics differed significantly between the two waves, mortality remained constant. According to LCA, the cardiovascular, diabetes, and CKD phenotypes had the highest death probability.

The ongoing COVID-19 pandemic continues to infect people worldwide, and the virus continues to evolve in significant ways which can pose challenges to the efficiency of available vaccines and therapeutic drugs and cause future pandemic. Therefore, it

Pulmonary fibrosis (PF) is a feared component in over 200 interstitial pulmonary diseases, which are characterized by increased alveolar wall thickness, excessive scarring, and aberrant extracellular matrix restructuring that, ultimately, affect lung

CONCLUSIONS: Appa Health is a novel smartphone app aiming to improve the well-being of youth and reduce anxiety and depressive symptoms through web-based mentoring and engaging CBT video content. This formative research sets the stage for a large

CONCLUSIONS AND RELEVANCE: This cohort study found that, in an Omicron-dominant period, protein recombinant vaccine NVX-CoV2373 was associated with protection against SARS-CoV-2 infection and symptomatic COVID-19. The use of this vaccine could remain

PURPOSE OF REVIEW: This literature review aims to provide a comprehensive overview of the recent advances in prediction models and the deployment of AI and ML in the prediction of cardiopulmonary resuscitation (CPR) success. The objectives are to