PubMed COVID-19 Clinical Care

CONCLUSION: Telemedicine is a viable alternative and a welcome convenience for potential donors to avoid unnecessary travel.

CONCLUSIONS: Immunisation interventions should be tailored to address drivers of drop-out in the community, the health facility and beyond. Service quality, timeliness and reliability need to be improved, and tailored messaging and education are

In the recent years, researchers from all over the world have become interested in the fabrication of advanced and innovative electrochemical and/or biosensors for respiratory virus detection with the use of nanotechnology. These fabricated sensors

CONCLUSION: The devices was feasible, usable, and patients had high levels of satisfaction. The device was associated with increased pill openings.

CONCLUSION: VNR, particularly B-cell-depleted VNR, remained at risk of hospitalization due to COVID-19. In the VR group, however, no clinical complications or severe disease were observed, despite not receiving nMAbs. Tailoring the administration of

CONCLUSION: VNR, particularly B-cell-depleted VNR, remained at risk of hospitalization due to COVID-19. In the VR group, however, no clinical complications or severe disease were observed, despite not receiving nMAbs. Tailoring the administration of

CONCLUSION: VNR, particularly B-cell-depleted VNR, remained at risk of hospitalization due to COVID-19. In the VR group, however, no clinical complications or severe disease were observed, despite not receiving nMAbs. Tailoring the administration of

CONCLUSION: VNR, particularly B-cell-depleted VNR, remained at risk of hospitalization due to COVID-19. In the VR group, however, no clinical complications or severe disease were observed, despite not receiving nMAbs. Tailoring the administration of

CONCLUSION: VNR, particularly B-cell-depleted VNR, remained at risk of hospitalization due to COVID-19. In the VR group, however, no clinical complications or severe disease were observed, despite not receiving nMAbs. Tailoring the administration of

Currently used lung disease screening tools are expensive in terms of money and time. Therefore, chest radiograph images (CRIs) are employed for prompt and accurate COVID-19 identification. Recently, many researchers have applied Deep learning (DL)