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. Repurposing Treatment of Wernicke–Korsakoff Syndrome for Th-17 Cell Immune Storm Syndrome and Neurological Symptoms in COVID-19: Thiamine Efficacy and Safety, In-Vitro Evidence and Pharmacokinetic Profile

    1. Vatsalya Vatsalya
    2. Fengyuan Li
    3. Jane Frimodig
    4. Khushboo S. Gala
    5. Shweta Srivastava
    6. Maiying Kong
    7. Vijay A. Ramchandani
    8. Wenke Feng
    9. Xiang Zhang
    10. Craig J. McClain

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Enhancing Food Security for Families Vulnerable to COVID-19

    1. Tayo Fabusuyi
    2. Aditi Misra
    3. Jonatan Martinez
    4. Andong Chen
    5. Vivian Jiang
    6. H. V. Jagadish
    7. Robert C. Hampshire

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Specific immune-regulatory transcriptional signatures reveal sex and age differences in SARS-CoV-2 infected patients

    1. Paula Paccielli Freire
    2. Alexandre H. C. Marques
    3. Gabriela Crispim Baiocchi
    4. Lena F. Schimke
    5. Dennyson Leandro M. Fonseca
    6. Ranieri Coelho Salgado
    7. Igor Salerno Filgueiras
    8. Sarah Maria da Silva Napoleao
    9. Desirée Rodrigues Plaça
    10. Thiago Dominguez Crespo Hirata
    11. Nadia El Khawanky
    12. Lasse Melvaer Giil
    13. Gustavo Cabral de Miranda
    14. Robson Francisco Carvalho
    15. Luis Carlos de Souza Ferreira
    16. Antonio Condino-Neto
    17. Helder Takashi Imoto Nakaya
    18. Igor Jurisica
    19. Hans D. Ochs
    20. Niels Olsen Saraiva Camara
    21. Vera Lúcia Garcia Calich
    22. Otavio Cabral-Marques

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Erythroid precursors and progenitors suppress adaptive immunity and get invaded by SARS-CoV-2

    1. Shima Shahbaz
    2. Lai Xu
    3. Mohammed Osman
    4. Wendy Sligl
    5. Justin Shields
    6. Michael Joyce
    7. D. Lorne Tyrrell
    8. Olaide Oyegbami
    9. Shokrollah Elahi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Prenatal exposure to gestational diabetes is associated with anxiety and physical inactivity in children during COVID ‐19

    1. Jasmin M. Alves
    2. Alexandra G. Yunker
    3. Alexis DeFendis
    4. Anny H. Xiang
    5. Kathleen A. Page

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Reverse Transcription Loop-Mediated Isothermal Amplification Assay for Ultrasensitive Detection of SARS-CoV-2 in Saliva and Viral Transport Medium Clinical Samples

    1. Anurup Ganguli
    2. Ariana Mostafa
    3. Jacob Berger
    4. Jongwon Lim
    5. Elbashir Araud
    6. Janice Baek
    7. Sarah A. Stewart de Ramirez
    8. Ali Baltaji
    9. Kelly Roth
    10. Muhammad Aamir
    11. Surya Aedma
    12. Mohamed Mady
    13. Pranav Mahajan
    14. Sanjivani Sathe
    15. Mark Johnson
    16. Karen White
    17. James Kumar
    18. Enrique Valera
    19. Rashid Bashir

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Conserved Genomic Terminals of SARS-CoV-2 as Coevolving Functional Elements and Potential Therapeutic Targets

    1. Agnes P. Chan
    2. Yongwook Choi
    3. Nicholas J. Schork

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. SEIR Filter: A Stochastic Model of Epidemics

    1. Martin Šmíd
    2. Luděk Berec
    3. Aleš Antonín Kuběna
    4. René Levínský
    5. Jan Trnka
    6. Vít Tuček
    7. Milan Zajíček

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Deep convolutional approaches for the analysis of Covid-19 using chest X-Ray images from portable devices

    1. Joaquim de Moura
    2. Lucía Ramos
    3. Plácido L. Vidal
    4. Milena Cruz
    5. Laura Abelairas
    6. Eva Castro
    7. Jorge Novo
    8. Marcos Ortega

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1

    1. Neeltje van Doremalen
    2. Trenton Bushmaker
    3. Dylan H. Morris
    4. Myndi G. Holbrook
    5. Amandine Gamble
    6. Brandi N. Williamson
    7. Azaibi Tamin
    8. Jennifer L. Harcourt
    9. Natalie J. Thornburg
    10. Susan I. Gerber
    11. James O. Lloyd-Smith
    12. Emmie de Wit
    13. Vincent J. Munster

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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