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