PubMed COVID-19 Clinical Care

Responding quickly to unknown pathogens is crucial to stop uncontrolled spread of diseases that lead to epidemics, such as the novel coronavirus, and to keep protective measures at a level that causes as little social and economic harm as possible

Research shows the important role of parents' mental health literacy in detecting depressive symptoms and supporting their children to seek professional help. Improving mental health literacy in parents has recently gained even greater importance due

CONCLUSIONS: Our developed strip assays based on aptamer pairs recognized the target, directly in a 5-6 minutes with naked eye. It was also concluded that aptamer pairs, membrane types, assay buffers and probe concentrations have significant role in

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mRNA-Lipid nanoparticles (LNPs) are at the forefront of global medical research. With the development of mRNA-LNP vaccines to combat the COVID-19 pandemic, the clinical potential of this platform was unleashed. Upon administering 16 billion doses

CONCLUSIONS: Both tools were valuable and practical tools for screening elderly people with COVID-19 who are at nutritional risk and those in need of additional nutritional intervention. Further research needed to be applied in the relationship

CONCLUSION: Most studies demonstrate a positive correlation between OD and cognition, but the data are mixed with associations less robust in this young adult population compared to elderly adults. Despite the heterogeneity in study populations and

Nurses' psychological resilience has been studied using a variable-centered rather than a person-centered approach, impeding a comprehensive understanding of the holistic expression of these different forms of psychological resilience. This study

In response to unprecedented surges in the demand for hospital care during the SARS-CoV-2 pandemic, health systems have prioritized patients with COVID-19 to life-saving hospital care to the detriment of other patients. In contrast to these ad hoc

We analyze a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs) that enable us to identify time-dependent parameters and data-driven fractional differential operators. In particular, we consider several