PubMed COVID-19 Clinical Care

A digital platform that can rapidly and accurately diagnose pathogenic viral variants, including SARS-CoV-2, will minimize pandemics, public anxiety, and economic losses. We recently reported an artificial intelligence (AI)-nanopore platform that

CONCLUSION: Increasing age, underlying COPD, HTN, and DM were associated with higher oxygen requirements in participants. Given limited availability of hospital beds, and no occurrences of death at home, Stamford Hospital HOP safely helped provide

Heart failure (HF) prevention is an urgent public health need with national and global implications. Stage A HF patients do not show HF symptoms or structural heart disease but are at risk of HF development. There are no unique recommendations on

INTRODUCTION: Loneliness and social isolation reduce physical and mental wellbeing. Older adults are particularly prone to social isolation due to decreased connection with previous social networks such as at workplaces. Social technology can

An immunochromatographic kit using antibodies against recombinant N protein of an omicron B.1.1.529 of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was developed to detect SARS-CoV-2 omicron variants. The kit detected omicron variants

CONCLUSIONS: Following COVID-19 infection, patients with SMI were at an elevated risk of death, further magnified by multimorbidity. Black Caribbean/Black African people had a higher risk of death from COVID-19 than White people, and this inequity

Annual influenza vaccination is one of the main public health measures able to drastically reduce the burden of this infectious disease. Some evidence suggests "trained immunity" triggered by influenza vaccine might reduce the risk of SARS-CoV-2

This report highlights survival and the patient's perspective after prolonged venovenous extracorporeal membrane oxygenation (ECMO) for COVID-19-related respiratory failure. A 36-year-old man with COVID-19 presented with fever, anosmia, and hypoxia

CONCLUSION: COVID-19 was associated with a range of symptoms lasting more than three months after the infection.

Since the beginning of the COVID-19 pandemic, many different machine learning models have been developed to detect and verify COVID-19 pneumonia based on chest X-ray images. Although promising, binary models have only limited implications for medical