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| http://dx.doi.org/10.4300/JGME-D-20-00206.1 | DOI Listing |
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Paying attention to the SARS-CoV-2 dialect : a deep neural network approach to predicting novel protein mutations.
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Predicting novel mutations has long-lasting impacts on life science research. Traditionally, this problem is addressed through wet-lab experiments, which are often expensive and time consuming. The recent advancement in neural language models has provided stunning results in modeling and deciphering sequences.
View Article and Find Full Text PDFSocial vulnerability index associated with higher COVID-19 seroprevalence in Nigeria.
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Institute of Human Virology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Social vulnerability has been shown to be a strong predictor of disparities in health outcomes. A common approach to estimating social vulnerability is using a composite index, such as the social vulnerability index (SVI), which combines multiple factors corresponding to key social determinants of health. Lawal and Osayomi created an SVI to explore key social determinants of health-related COVID-19 infection among the Nigerian population.
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View Article and Find Full Text PDFPublic knowledge, attitudes, and practices regarding antibiotics use and resistance in Montenegro.
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Clinical Centre of Montenegro, University of Montenegro, Podgorica, Montenegro.
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View Article and Find Full Text PDFAdaptive clinical trial of AZD7442 and SARS-CoV-2 vaccination in immunosuppressed patients highly vulnerable to infection with SARS-CoV-2 virus (RAPID-PROTECTION): protocol for a multicentre, interventional open-label, randomised controlled trial.
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