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
-
Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement
This article has 12 authors:Reviewed by ScreenIT
-
Adaptive immune responses to SARS-CoV-2 in recovered severe COVID-19 patients
This article has 12 authors:Reviewed by ScreenIT
-
Novel approach for Monte Carlo simulation of the new COVID-19 spread dynamics
This article has 2 authors:Reviewed by ScreenIT
-
Seroprevalence of anti-SARS-CoV-2 IgG antibodies in hospitalized patients at a tertiary referral center in North India
This article has 22 authors:Reviewed by ScreenIT
-
Chaos theory applied to the outbreak of Covid-19: an ancillary approach to decision-making in pandemic context
This article has 6 authors:Reviewed by ScreenIT
-
Evaluation of a rapid antigen test (Panbio™ COVID-19 Ag rapid test device) for SARS-CoV-2 detection in asymptomatic close contacts of COVID-19 patients
This article has 5 authors:Reviewed by ScreenIT
-
Efficacy and Safety of Indomethacin in Covid -19 patients
This article has 6 authors:Reviewed by ScreenIT
-
SARS-CoV-2 Receptor Angiotensin I-Converting Enzyme Type 2 (ACE2) Is Expressed in Human Pancreatic β-Cells and in the Human Pancreas Microvasculature
This article has 14 authors:Reviewed by ScreenIT
-
Characterization and Phase 1 Trial of a B Cell Activating Anti-CD73 Antibody for the Immunotherapy of COVID-19
This article has 17 authors:Reviewed by ScreenIT
-
Lactate dehydrogenase, an independent risk factor of severe COVID-19 patients: a retrospective and observational study
This article has 10 authors:Reviewed by ScreenIT