PubMed COVID-19 Clinical Care

Natural killer (NK) cells are critical effectors of antiviral immunity. Researchers have therefore sought to characterize the NK cell response to coronavirus disease 2019 (COVID-19) and the virus that causes it, severe acute respiratory syndrome

INTRODUCTION: Since 2019, numerous variants of concern for severe acute respiratory syndrome virus 2 (SARS-CoV-2) have emerged, leading to significant outbreaks. The development of novel, highly accurate, and rapid detection techniques for these new

CONCLUSIONS: Our findings suggest an increase in depressive symptoms in younger adults during the pandemic. It is necessary to develop policies to provide younger adults with resources to cope with depressive symptoms related to COVID-19 and

Despite global vaccination efforts, immunocompromized patients remain at high risk for COVID-19-associated morbidity. In particular, patients with impaired humoral immunity have shown a high risk of persistent infection. We report a case series of

CONCLUSIONS: We demonstrate the reliability of a shared ventilation system assembled using commonly available clinical components that allows titration of individual tidal volumes. This system may be useful as a strategy of last resort for Covid-19

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BACKGROUND: Bivalent BA.1 booster vaccines were offered to adults aged 50 years or older and clinically vulnerable people as part of the 2022 autumn COVID-19 booster vaccination programme in England. Previously, all adults in England had been offered

The detection of SARS-CoV-2 infection is crucial for effective prevention and surveillance of COVID-19. In this study, we report the development of a novel detection assay named CENSOR that enables sensitive and specific detection of SARS-CoV-2 RNA

The ability to infer the timing and amplitude of perturbations in epidemiological systems from their stochastically spread low-resolution outcomes is crucial for multiple applications. However, the general problem of connecting epidemiological curves

De novo generation of molecules with the necessary features offers a promising opportunity for artificial intelligence, such as deep generative approaches. However, creating novel compounds having biological activities toward two distinct targets