PubMed COVID-19 Clinical Care

CONCLUSIONS: Our findings provide robust confirmation of both patient-related variables and tic characteristics contributing to the differential diagnosis between functional tics developed during the pandemic and neurodevelopmental tics reported by

We examine the influence of the COVID-19 pandemic on medical occupation preference, focusing on Wuhan, China. We conducted a survey of 5686 respondents in China regarding the influence of the COVID-19 pandemic on medical occupation preference. We

CONCLUSION: The data indicate a consistent oncological performance for head and neck cancer patients in all waves of the pandemic and thereafter without a decrease in diagnoses or shift in stages.

During the COVID-19 pandemic, mothers of young children are considered to be one of the most vulnerable populations and are at higher risk of receiving negative social support. This study used the longitudinal online surveys conducted before and

This paper presents a healthcare information and medical resource management platform utilizing wearable devices, physiological sensors, and an indoor positioning system (IPS). This platform provides medical healthcare information management based on

CONCLUSIONS: This study demonstrates direct inhibition of the SARS-CoV-2 E protein by classical viroporin inhibitors. Ivermectin and milbemycin inhibit the E protein channel but their cytotoxicity argues against clinical application.

The utility of reverse transcription-polymerase chain reaction (RT-PCR) in analysis SARS-COV-2 variants was evaluated. RT-PCR tests were used to analyse the majority of new SARS-CoV-2 cases (n = 9315) in a tertiary hospital (Madrid, Spain) throughout

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has posed a great concern in human population. To fight coronavirus emergence, we have dissected the conserved amino acid region of the internal fusion peptide in the S2 subunit of Spike

The COVID-19 pandemic revealed numerous weaknesses in pandemic preparedness and response, including underfunding, inadequate surveillance, and inequitable distribution of countermeasures. To overcome these weaknesses for future pandemics, WHO

Federated Learning (FL) is an emerging distributed learning paradigm which offers data privacy to contributing nodes in the collaborating environment. By exploiting the Individual datasets of different hospitals in FL setting could be used to develop