PubMed COVID-19 Clinical Care

CONCLUSIONS: Findings indicate the potential of occupational therapy fatigue management interventions to enable self management strategies and reduce the negative impact of fatigue among people with post COVID-19 condition.

CONCLUSION: The secondary transmission rate from patients with negative RAT and positive PCR results was low. Our data suggest that RAT may be useful for rapid exclusion of high transmissible cases. However, further evaluation using whole genome

Despite the great impact of severe acute respiratory syndrome caused by coronavirus 2 (SARS-CoV-2), we still lack techniques that allow us to anticipate the natural history of the disease in order to avoid or shorten the clinical period of the

CONCLUSIONS: The results indicate the importance of active lifestyles in reducing negative impacts of the fear of being infected with a disease during times of crisis such as outbreaks and ruminative thoughts on lifestyle. The findings of this study

To describe humoral immune responses to symptomatic SARS-CoV-2 infection, we assessed immunoglobulin G binding antibody levels using a commercial multiplex bead assay against SARS-CoV-2 ancestral spike protein receptor binding domain (RBD) and

Protein homeostasis is tightly regulated, with damaged or misfolded proteins quickly eliminated by the proteasome and autophagosome pathways. By co-opting these processes, targeted protein degradation technologies enable pharmacological manipulation

From asymptomatic to severe, SARS-CoV-2, causative agent of COVID-19, elicits varying disease severities. Moreover, understanding innate and adaptive immune responses to SARS-CoV-2 is imperative since variants such as Omicron negatively impact

No abstract

The COVID-19 pandemic has changed the way to manage the emergencies, as people faced fear of the hospitals, with possible delay in the diagnosis. Moreover, clinicians had to rearrange protocols for diagnosis and treatment. We aimed to assess whether

To precisely determine the severity of COVID-19-related pneumonia, computed tomography (CT) is an imaging modality beneficial for patient monitoring and therapy planning. Thus, we aimed to develop a deep learning-based image segmentation model to