ScreenIT
The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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A hybrid approach to predict COVID-19 cases using neural networks and inverse problem
This article has 2 authors:Reviewed by ScreenIT
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What are effective strategy to constrain COVID-19 pandemic crisis? lessons learned from a comparative policy analysis between Italian regions to cope with next pandemic impact
This article has 2 authors:Reviewed by ScreenIT
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Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest
This article has 12 authors:Reviewed by ScreenIT
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Differential Evasion of Delta and Omicron Immunity and Enhanced Fusogenicity of SARS-CoV-2 Omicron BA.4/5 and BA.2.12.1 Subvariants
This article has 14 authors:Reviewed by ScreenIT
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Racial differences in vaccine acceptance in a rural southern US state
This article has 6 authors:Reviewed by ScreenIT
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Prophylactic treatment of Glycyrrhiza glabra mitigates COVID-19 pathology through inhibition of pro-inflammatory cytokines in the hamster model and NETosis
This article has 10 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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The ATLAS™ screening assay reveals distinct CD4 + and CD8 + SARS-CoV-2 antigen response profiles which have implications to Omicron cellular immunity
This article has 12 authors:Reviewed by ScreenIT
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SARS-CoV-2 accessory proteins ORF7a and ORF3a use distinct mechanisms to down-regulate MHC-I surface expression
This article has 9 authors:Reviewed by ScreenIT
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Neuropathic symptoms with SARS-CoV-2 vaccination
This article has 12 authors:Reviewed by ScreenIT
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Summaries, Analysis and Simulations of Recent COVID-19 Epidemic in Shanghai
This article has 1 author:Reviewed by ScreenIT