PubMed COVID-19 Clinical Care

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

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

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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

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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

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