PubMed COVID-19 Clinical Care

Coronavirus disease 2019 (COVID-19) has had devastating effects worldwide, with particularly high morbidity and mortality in outbreaks on residential care facilities. Amantadine, originally licensed as an antiviral agent for therapy and prophylaxis

Automatic facial expression recognition (AFER), sometimes referred to as emotional recognition, is important for socializing. Automatic methods in the past two years faced challenges due to Covid-19 and the vital wearing of a mask. Machine learning

CONCLUSION: Our findings imply rapid transmissibility of omicron and multiple-onset symptoms among HCWs. Improved autoimmunity and self-protection measures for HCWs may be helpful in controlling infection and clinical symptoms. Our results provide

CONCLUSIONS: These evidence-based recommendations are intended to reduce the use of antibiotics to treat colds and acute bronchitis, for which they are not indicated. Further clinical trials of symptomatic treatments for cough should be performed in

CONCLUSIONS: While slightly lower Ct values were observed among unvaccinated individuals infected with Omicron compared with post-booster dose cases, further research is required to determine whether a significant difference in secondary transmission

CONCLUSION: This is the first case of acute pericarditis as the primary presentation of COVID-19 in the absence of respiratory symptoms and a clear chest CT scan, followed by the development of Guillain-Barré syndrome and respiratory tract

The success of the supervised learning process for feedforward neural networks, especially multilayer perceptron neural network (MLP), depends on the suitable configuration of its controlling parameters (i.e., weights and biases). Normally, the

Lung segmentation algorithms play a significant role in segmenting theinfected regions in the lungs. This work aims to develop a computationally efficient and robust deep learning model for lung segmentation using chest computed tomography (CT)

The coronavirus disease (COVID-19) is primarily disseminated through physical contact. As a precaution, it is recommended that indoor spaces have a limited number of people and at least one meter apart. This study proposes a real-time method for

CONCLUSIONS: These findings suggest that LTL can be a useful parameter for predicting disease severity in patients, as individuals with short telomeres may have a higher risk of developing severe COVID-19.