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.

About Followers

Latest preprint reviews

  1. From predictions to prescriptions: A data-driven response to COVID-19

    1. Dimitris Bertsimas
    2. Leonard Boussioux
    3. Ryan Cory-Wright
    4. Arthur Delarue
    5. Vassilis Digalakis
    6. Alexandre Jacquillat
    7. Driss Lahlou Kitane
    8. Galit Lukin
    9. Michael Li
    10. Luca Mingardi
    11. Omid Nohadani
    12. Agni Orfanoudaki
    13. Theodore Papalexopoulos
    14. Ivan Paskov
    15. Jean Pauphilet
    16. Omar Skali Lami
    17. Bartolomeo Stellato
    18. Hamza Tazi Bouardi
    19. Kimberly Villalobos Carballo
    20. Holly Wiberg
    21. Cynthia Zeng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Optimizing the COVID-19 Intervention Policy in Scotland and the Case for Testing and Tracing

    1. Andreas Grothey
    2. Ken Mckinnon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Coding-Complete Genome Sequences of 23 SARS-CoV-2 Samples from the Philippines

    1. John Mark Velasco
    2. Piyawan Chinnawirotpisan
    3. Khajohn Joonlasak
    4. Wudtichai Manasatienkij
    5. Angkana Huang
    6. Maria Theresa Valderama
    7. Paula Corazon Diones
    8. Susie Leonardia
    9. Maria Leanor Timbol
    10. Fatima Claire Navarro
    11. Vicente Villa
    12. Henry Tabinas
    13. Domingo Chua
    14. Stefan Fernandez
    15. Anthony Jones
    16. Chonticha Klungthong

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Anosmia in COVID-19 patients

    1. D. Hornuss
    2. B. Lange
    3. N. Schröter
    4. S. Rieg
    5. W.V. Kern
    6. D. Wagner

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  5. When lockdown policies amplify social inequalities in COVID-19 infections: evidence from a cross-sectional population-based survey in France

    1. for the SAPRIS study group
    2. Nathalie Bajos
    3. Florence Jusot
    4. Ariane Pailhé
    5. Alexis Spire
    6. Claude Martin
    7. Laurence Meyer
    8. Nathalie Lydié
    9. Jeanna-Eve Franck
    10. Marie Zins
    11. Fabrice Carrat

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Robust immune responses are observed after one dose of BNT162b2 mRNA vaccine dose in SARS-CoV-2–experienced individuals

    1. Marie I. Samanovic
    2. Amber R. Cornelius
    3. Sophie L. Gray-Gaillard
    4. Joseph Richard Allen
    5. Trishala Karmacharya
    6. Jimmy P. Wilson
    7. Sara Wesley Hyman
    8. Michael Tuen
    9. Sergei B. Koralov
    10. Mark J. Mulligan
    11. Ramin Sedaghat Herati

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Hepatitis C Virus Drugs Simeprevir and Grazoprevir Synergize with Remdesivir to Suppress SARS-CoV-2 Replication in Cell Culture

    1. Khushboo Bafna
    2. Kris White
    3. Balasubramanian Harish
    4. Romel Rosales
    5. Theresa A. Ramelot
    6. Thomas B. Acton
    7. Elena Moreno
    8. Thomas Kehrer
    9. Lisa Miorin
    10. Catherine A. Royer
    11. Adolfo García-Sastre
    12. Robert M. Krug
    13. Gaetano T. Montelione

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. COVID-19 cognitive deficits after respiratory assistance in the subacute phase: A COVID-rehabilitation unit experience

    1. Federica Alemanno
    2. Elise Houdayer
    3. Anna Parma
    4. Alfio Spina
    5. Alessandra Del Forno
    6. Alessandra Scatolini
    7. Sara Angelone
    8. Luigia Brugliera
    9. Andrea Tettamanti
    10. Luigi Beretta
    11. Sandro Iannaccone

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Using Machine Learning to assess Covid-19 risks

    1. Srikanth Muthya
    2. Renjith S Nair
    3. Thanga Prabhu Arokiaswamy
    4. Anusha Prakash

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. The Answer Lies in the Energy: How Simple Atomistic Molecular Dynamics Simulations May Hold the Key to Epitope Prediction on the Fully Glycosylated SARS-CoV-2 Spike Protein

    1. Stefano A. Serapian
    2. Filippo Marchetti
    3. Alice Triveri
    4. Giulia Morra
    5. Massimiliano Meli
    6. Elisabetta Moroni
    7. Giuseppe A. Sautto
    8. Andrea Rasola
    9. Giorgio Colombo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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