PubMed COVID-19 Clinical Care

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Supervised machine learning (ML) methods have been used to predict antibody responses elicited by COVID-19 vaccines in a variety of clinical settings. Here, we explored the reliability of a ML approach to predict the presence of detectable

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CONCLUSION: Adintrevimab at doses of 300 mg IM, 500 mg IV, and 600 mg IM was well tolerated in healthy adults. Adintrevimab demonstrated dose-proportional exposure, rapid development of neutralizing antibody titers, and an extended half-life.

CONCLUSIONS: Antigen testing facilitated rapid expansion and decentralisation of SARS-CoV-2 testing across lower tier facilities in Rwanda, contributed to increased case identification, reduced test processing times, and was determined to be feasible

The impact of coronavirus disease 2019 (COVID-19) on the wellbeing of breast cancer (BC) patients is not well understood. This study described psychosocial problems among these patients in the United States (US) during the COVID-19 pandemic. Data

Recombinant Newcastle disease virus (rNDV) strains engineered to express foreign genes from an additional transcription unit (ATU) are considered as candidate live-attenuated vector vaccines for human and veterinary use. Early during the COVID-19

There have been an estimated 100 million people diagnosed with COVID-19 in the United States, with a majority of patients reporting persistent symptoms expressed as long COVID. The 2 most frequently reported long COVID symptoms are shortness of

Clinical performance is a crucial part of evaluation in nurse practitioner education and has traditionally been accomplished through faculty site visits. The evolution of distance learning and on-line programs along with the recent COVID-19 pandemic

Public health requires collective action-the public best addresses health crises when individuals engage in prosocial behaviors. Failure to do so can have dire societal and economic consequences. This was made clear by the disjointed, politicized