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. ACE2 and TMPRSS2 are expressed on the human ocular surface, suggesting susceptibility to SARS-CoV-2 infection

    1. Lingli Zhou
    2. Zhenhua Xu
    3. Gianni M. Castiglione
    4. Uri S. Soiberman
    5. Charles G. Eberhart
    6. Elia J. Duh

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. Charting Elimination in the Pandemic: A SARS-CoV-2 Serosurvey of Blood Donors in New Zealand

    1. Lauren H. Carlton
    2. Tiffany Chen
    3. Alana L. Whitcombe
    4. Reuben McGregor
    5. Greg Scheurich
    6. Campbell R. Sheen
    7. James M. Dickson
    8. Chris Bullen
    9. Annie Chiang
    10. Daniel J. Exeter
    11. Janine Paynter
    12. Michael G. Baker
    13. Richard Charlewood
    14. Nicole J. Moreland

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. COLI‐Net : Deep learning‐assisted fully automated COVID ‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images

    1. Isaac Shiri
    2. Hossein Arabi
    3. Yazdan Salimi
    4. Amirhossein Sanaat
    5. Azadeh Akhavanallaf
    6. Ghasem Hajianfar
    7. Dariush Askari
    8. Shakiba Moradi
    9. Zahra Mansouri
    10. Masoumeh Pakbin
    11. Saleh Sandoughdaran
    12. Hamid Abdollahi
    13. Amir Reza Radmard
    14. Kiara Rezaei‐Kalantari
    15. Mostafa Ghelich Oghli
    16. Habib Zaidi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Assessing vaccination strategies for the COVID-19 epidemic in Minas Gerais (Brazil)

    1. Marcelo Domingos Marchesin
    2. Mehran Sabeti

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Association of Age and Pediatric Household Transmission of SARS-CoV-2 Infection

    1. Lauren A. Paul
    2. Nick Daneman
    3. Kevin L. Schwartz
    4. Michelle Science
    5. Kevin A. Brown
    6. Michael Whelan
    7. Ellen Chan
    8. Sarah A. Buchan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Rapid genomic surveillance of SARS-CoV-2 in a dense urban community using environmental (sewage) samples

    1. Rajindra Napit
    2. Prajwol Manandhar
    3. Ashok Chaudhary
    4. Bishwo Shrestha
    5. Ajit Poudel
    6. Roji Raut
    7. Saman Pradhan
    8. Samita Raut
    9. Sujala Mathema
    10. Rajesh Rajbhandari
    11. Sameer Dixit
    12. Jessica S. Schwind
    13. Christine K Johnson
    14. Jonna K Mazet
    15. Dibesh Karmacharya

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Single-Domain SARS-CoV-2 S1 and RBD Antibodies Isolated from Immunized Llama Effectively Bind Targets of the Wuhan, UK, and South African Strains in vitro

    1. Divora Yemane
    2. Ivan Lu
    3. Winson Tiahjono
    4. Lauren Rubidoux
    5. Abbas Hussain
    6. John C. Cancilla
    7. Erika Duggan
    8. Nathan C. Shaner
    9. Nobuki Nakanishi
    10. Jiwu Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Sexually dimorphic placental responses to maternal SARS-CoV-2 infection

    1. Evan A Bordt
    2. Lydia L Shook
    3. Caroline Atyeo
    4. Krista M Pullen
    5. Rose M De Guzman
    6. Marie-Charlotte Meinsohn
    7. Maeva Chauvin
    8. Stephanie Fischinger
    9. Laura J. Yockey
    10. Kaitlyn James
    11. Rosiane Lima
    12. Lael M Yonker
    13. Alessio Fasano
    14. Sara Brigida
    15. Lisa M Bebell
    16. Drucilla J Roberts
    17. David Pépin
    18. Jun R Huh
    19. Staci D Bilbo
    20. Jonathan Z Li
    21. Anjali Kaimal
    22. Danny Schust
    23. Kathryn J Gray
    24. Douglas Lauffenburger
    25. Galit Alter
    26. Andrea G Edlow

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Predicting severe COVID-19 outcomes for triage and resource allocation

    1. Anthony Onde Morada
    2. Caleb Scheidel
    3. Jennifer Brown
    4. Jeremy Albright
    5. Victor Kolade
    6. Burt Cagir

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Evaluation of pooling of samples for testing SARS-CoV- 2 for mass screening of COVID-19

    1. Sally A. Mahmoud
    2. Esra Ibrahim
    3. Bhagyashree Thakre
    4. Juliet G. Teddy
    5. Preety Raheja
    6. Subhashini Ganesan
    7. Walid A. Zaher

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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