PubMed COVID-19 Clinical Care

This study evaluates the repurposing of expired isopropanol (IPA) COVID-19 disinfectant (64% w/w) to pretreat algal biomass for enhancing methane (CH(4)) yield. The impact of harvesting methods (centrifugation and polymer flocculation) and microwave

The presence of different mutations in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome can be related to changes in coronavirus disease (COVID-19) infection. Besides, these viral alterations associated with factors such as

CONCLUSION: These pilot data suggest improvements in some swallowing parameters as an outcome of intervention.

CONCLUSIONS: We observed a reduction in the growth rate in very high tier after the tiered restriction system was implemented, but we also observed a lag between tiered restriction system implementation and the onset of consequent effects. This could

CONCLUSION: Three out of ten people with long COVID experience painful symptoms, which can significantly reduce their quality of life. Comprehensive rehabilitation can improve the symptoms and reduce the burden of the disease.

Respiratory sensitivity and pneumonia are possible outcomes of the coronavirus (COVID-19). Surface characteristics like temperature and sunshine affect how long the virus survives. This research article analyzes COVID-19 mathematical model behavior

COVID-19 has proven to be particularly aggressive in patients with chronic kidney disease (CKD). The lower immune response rate and the greater susceptibility to progress to severe forms of the disease have contributed to this phenomenon, which has

Background: Tele-oncology became a widely used tool during the COVID-19 pandemic, but there was limited understanding of how patient-clinician communication occurred using the technology. Our goal was to identify how communication transpired during

CONCLUSION: The mask compliance in Chennai outdoors during the COVID-19 pandemic was less than 50%, with variations across time points by gender, age groups, and geographical locations. We must develop more effective communication strategies for

Automatic and accurate segmentation of medical images plays an essential role in disease diagnosis and treatment planning. Convolution neural networks have achieved remarkable results in medical image segmentation in the past decade. Meanwhile, deep