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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Decision trees for COVID-19 prognosis learned from patient data: Desaturating the ER with Artificial Intelligence
This article has 12 authors:Reviewed by ScreenIT
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Imprinted antibody responses against SARS-CoV-2 Omicron sublineages
This article has 52 authors:Reviewed by ScreenIT
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Activated interstitial macrophages are a predominant target of viral takeover and focus of inflammation in COVID-19 initiation in human lung
This article has 25 authors:Reviewed by ScreenIT
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Inferring selection effects in SARS-CoV-2 with Bayesian Viral Allele Selection
This article has 3 authors:Reviewed by ScreenIT
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Persistent serum protein signatures define an inflammatory subset of long COVID
This article has 20 authors:Reviewed by ScreenIT
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Knowledge mobilization activities to support decision-making by youth, parents, and adults using a systematic and living map of evidence and recommendations on COVID-19: protocol for three randomized controlled trials and qualitative user-experience studies
This article has 25 authors:Reviewed by ScreenIT
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Delayed antigen-specific CD4 + T-cell induction correlates with impaired immune responses to SARS-COV-2 mRNA vaccination in the elderly
This article has 12 authors:Reviewed by ScreenIT
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The impact of side effect framing on COVID-19 booster vaccine intentions in an Australian sample
This article has 3 authors:Reviewed by ScreenIT
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Machine learning uncovers blood test patterns subphenotypes at hospital admission discerning increased 30-day ICU mortality rates in COVID-19 elderly patients
This article has 9 authors:Reviewed by ScreenIT
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Performance of Existing and Novel Symptom- and Antigen Testing–Based COVID-19 Case Definitions in a Community Setting
This article has 7 authors:Reviewed by ScreenIT