PubMed COVID-19 Clinical Care

CONCLUSIONS: Our results suggest that COVID-19 pandemic lockdown measures were associated with fewer alcohol-related hospitalizations. Proactive outreach for vulnerable populations during lockdowns is needed.

This umbrella review aims to provide a comprehensive overview of the use of telehealth services for women after the COVID-19 pandemic. The review synthesizes findings from 21 reviews, covering diverse topics such as cancer care, pregnancy and

CONCLUSION: Our study highlights a novel nanobody, Nb-H6, that may be useful therapeutically in SARS-CoV-2 and VOC outbreaks and pandemics. These findings also provide a molecular foundation for further studies into how nanobodies neutralize SARS-CoV

CONCLUSION: In this pilot study we found no evidence of onward transmission of SARS-CoV-2 to contacts of cases discharged home with a positive PCR result. This suggests the current discharge policy for mild to moderate COVID-19 case following 2 weeks

CONCLUSION: Depending on the antigen, Fc-effector functions either do not modulate or suppress the immunogenicity of DNA vaccines encoding Fc-antigen fusion proteins.

COVID-19 can cause an asthma attack by triggering asthma symptoms, such as wheezing, chest tightness, and difficulty breathing, which are distressing for patients and can cause anxiety. Additionally, it can progress to pneumonia or other severe lung

The Covid-19 pandemic has had a universal impact on humanity. All patients in the European health systems have experienced digital healthcare in some way. Digital technologies were deployed during the pandemic in various areas of the health care

CONCLUSION: Despite varying degrees of Ab production, all Ab deficient patients, as well as almost half of those with complement and phagocytic defects, did not effectively neutralize the virus (cVNT). In light of the decreased production and

CONCLUSIONS: Current pandemic shows the necessity of developing flexible models to be adapted to different illness data. The framework developed proved to be reliable for the different diseases analyzed, presenting enough flexibility to update with

Cross-institution collaborations are constrained by data-sharing challenges. These challenges hamper innovation, particularly in artificial intelligence, where models require diverse data to ensure strong performance. Federated learning (FL) solves