PubMed COVID-19 Clinical Care

Various types of vaccines have been developed against COVID-19, including vector vaccines. Among the COVID-19 vaccines, AstraZeneca's chimpanzee adenoviral vaccine was the first to be commercialized. For viral vector vaccines, biodistribution studies

CONCLUSION: For new CI users, tonotopic fitting appears to be more efficient than the default frequency fitting because it allows for better speech recognition in noise without compromising understanding in quiet.

No abstract

CONCLUSIONS AND IMPLICATIONS: Here we demonstrated for the first time, that in isolated cardiomyocytes, both mRNA-1273 and BNT162b2 induce specific dysfunctions that correlate pathophysiologically to cardiomyopathy. Both RyR2 impairment and sustained

CONCLUSIONS: During the study period, half of the healthcare workers in our hospital developed COVID-19 infection of whom 9.5% re-infected, predominantly during the Omicron variant period. Our findings highlight the importance of taking preventive

CONCLUSION: The presence of metabolic dysfunction-associated fatty liver disease in hospitalized coronavirus disease 2019 patients strongly correlated with the severity of coronavirus disease 2019. The hepatic FIB-8 index appears to provide the best

BACKGROUND: COVID-19 (coronavirus disease 2019) pandemic has had enormous social and economic impacts so far. The nucleocapsid protein (N protein) is highly conserved and is a key antigenic marker for the diagnosis of early SARS-CoV-2 infection.

Carbon Dioxide (CO[Formula: see text]) is a significant contributor to greenhouse gas emissions and one of the main drivers behind global warming and climate change. In spite of the global economic slowdown due to the COVID-19 pandemic, the global

CONCLUSION: Year -1 students' performance in science courses during the coronavirus period seems better than pre COVID19 era. Females' performance was better than males' in both periods; pre and during COVID -19 periods.

CONCLUSION: Observational supervision with audit logs improved the performance of ML models trained to predict important clinical outcomes in patients with AKI and acute stroke, and improved robustness to temporal distribution shifts.