CONCLUSIONS: rUMAP and nUMAP are great tools for image homogeneity analysis and bias discovery, as demonstrated by applying them to COVID-19 image data. Nonetheless, nUMAP could be applied to any type of data for which a deep neural network could be
Containing a pandemic requires that individuals adhere to measures such as wearing face-masks and getting vaccinated. Therefore, identifying predictors and motives for both behaviors is of importance. Here, we study the decisions made by a cross
CONCLUSION: Both BT programs delivered treatment to most patients with minimal delays and cancellations, where feasible. Some of the pandemic workflow changes continued to the current state of the pandemic. Long-term follow-up is needed to assess the
CONCLUSION: The subclinical myocardial dysfunction persisting in post-COVID patients (without suspected cardiac affection and lower neuroinflammatory symptoms in the acute phase) with significant pulmonary affection needs further evaluation. They
OBJECTIVES: Coronavirus disease 2019 (COVID-19) has neurologic manifestations associated with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study aimed to retrospectively analyze SARS COVID-19 patients with neurological
CONCLUSION: These are important biomarkers to predict the prognosis and outcome of COVID-19 patients. As these markers are easily available, they could be used to categorize the patients at an early stage for optimum management.
CONCLUSION: It is concluded that both, humoral and cellular immunity, play an important role in maintaining immunity against COVID-19 infection, following COVISHIELD vaccination. Moreover, in subjects with normalisation of antibody levels post
CONCLUSION: The study suggests the need for a crisis information hub which could be coordinated by the Nepal embassy or concerned authorities, flexible policies for active deployment of Nepalese health workers and volunteers, accessible hotlines in