PubMed COVID-19 Clinical Care

Since the outbreak of the pandemic respiratory virus SARS-CoV-2 (COVID-19), academic communities and governments/private companies have used several detection techniques based on gold nanoparticles (AuNPs). In this emergency context, colloidal AuNPs

This study introduces a novel method for detecting the post-COVID state using ECG data. By leveraging a convolutional neural network, we identify "cardiospikes" present in the ECG data of individuals who have experienced a COVID-19 infection. With a

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CONCLUSIONS: There are specific psychological and socio-demographic determinants that affect COVID-19 vaccine uptake in pregnant populations. Implications of these findings include targeting these determinants when informing and developing

CONCLUSIONS: Our results demonstrate that challenges commonly faced by global health networks are also relevant to networks operating on a national scale and may offer them strategies for future national networks to consider adopting to address these

Establishing the host range for novel viruses remains a challenge. Here, we address the challenge of identifying non-human animal coronaviruses that may infect humans by creating an artificial neural network model that learns from spike protein

CONCLUSIONS: The present study identifies significant factors associated with changes in young adults' social cannabis use following pandemic-related social distancing. These findings may inform social network interventions for young adults who use

The emergence of COVID-19 in the United States resulted in a series of federal and state-level lock-downs and COVID-19 related health mandates to manage the spread of the virus. These policies may negatively impact the mental health state of the

CONCLUSION: A significant reduction in emergency room visits, hospital admissions and utilisation of primary care services was observed since the start of the pandemic. Further research is required to understand if there are long-term consequences of