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
-
Safety and immunogenicity evaluation of inactivated whole-virus-SARS-COV-2 as emerging vaccine development in Egypt
This article has 12 authors:Reviewed by ScreenIT
-
Head-to-head performance comparison of self-collected nasal versus professional-collected nasopharyngeal swab for a WHO-listed SARS-CoV-2 antigen-detecting rapid diagnostic test
This article has 15 authors:Reviewed by ScreenIT
-
Infection with SARS‐CoV‐2 variant B.1.1.7 detected in a group of dogs and cats with suspected myocarditis
This article has 8 authors:Reviewed by ScreenIT
-
Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality prediction
This article has 6 authors:Reviewed by ScreenIT
-
Efficient Maternofetal Transplacental Transfer of Anti- Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Spike Antibodies After Antenatal SARS-CoV-2 BNT162b2 Messenger RNA Vaccination
This article has 6 authors:Reviewed by ScreenIT
-
Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19
This article has 41 authors:Reviewed by ScreenIT
-
Mechanism of a COVID-19 nanoparticle vaccine candidate that elicits a broadly neutralizing antibody response to SARS-CoV-2 variants
This article has 10 authors:Reviewed by ScreenIT
-
Combined computational and cellular screening identifies synergistic inhibition of SARS-CoV-2 by lenvatinib and remdesivir
This article has 11 authors:Reviewed by ScreenIT
-
Risk of death among people with rare autoimmune diseases compared with the general population in England during the 2020 COVID-19 pandemic
This article has 9 authors:Reviewed by ScreenIT
-
De novo design of picomolar SARS-CoV-2 miniprotein inhibitors
This article has 15 authors:Reviewed by ScreenIT