PubMed COVID-19 Clinical Care

CONCLUSION: We have all witnessed of COVID-19 pandemic, and its mortality was mostly associated with co-morbid conditions and secondary infections of MDR pathogens. Rapid detections of causative agents of these superbugs with their changing

Combat and care during CoVid-19 was non-trivial. Therefore, it is of interest to use the pharmacologically active plant component quercetin for the treatment of CoVid-19. Quercetin exhibits favourable ADMET values and abides by Lipinski's rule of

CONCLUSION: Our data show that multiple gestation alone is a risk factor for COVID-19-associated combined adverse maternal outcome. Moreover, severe courses of COVID-19 in women expecting more than one child are observed earlier in pregnancy than in

Tuberculosis has been a public health crisis since the 1900, which has caused the highest mortalities due to a single bacterial infection worldwide, that was recently further complicated by the Coronavirus disease 2019 pandemic. The causative agent

There has been a rise in cardiovascular events following the onset of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, a strain that caused coronavirus disease 2019 (COVID-19). Although rare, there has been an increase in

Clinical prediction models tend only to incorporate structured healthcare data, ignoring information recorded in other data modalities, including free-text clinical notes. Here, we demonstrate how multimodal models that effectively leverage both

CONCLUSIONS: Our study suggests that children critically ill with MIS-C have expansion of MDSC and associated decreased T cell and NK cell populations. Our results did not demonstrate associations between MDSC and clinical outcomes.

CONCLUSIONS: Several factors (economic, aspirational, perception of nursing during the COVID-19, or gender) influence new students' career choice. These factors shape their expectations and often do not match actual working conditions in nursing

Bacillus Calmette-Guérin (BCG) vaccination induces a type of immune memory known as "trained immunity", characterized by the immunometabolic and epigenetic changes in innate immune cells. However, the molecular mechanism underlying the strategies for

CONCLUSIONS: The LSTM model has great potential for predicting the prevalence of Omicron outbreaks, whereas the SEAIQRD model is highly effective in revealing their internal transmission mechanisms. We recommended the use of joint interventions to