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. Comprehensive analysis of next-generation sequencing data in COVID-19 and its secondary complications

    1. Muttanagouda Giriyappagoudar
    2. Basavaraj Vastrad
    3. Rajeshwari Horakeri
    4. Chanabasayya Vastrad

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. mRNA-1273 or mRNA-Omicron boost in vaccinated macaques elicits comparable B cell expansion, neutralizing antibodies and protection against Omicron

    1. Matthew Gagne
    2. Juan I. Moliva
    3. Kathryn E. Foulds
    4. Shayne F. Andrew
    5. Barbara J. Flynn
    6. Anne P. Werner
    7. Danielle A. Wagner
    8. I-Ting Teng
    9. Bob C. Lin
    10. Christopher Moore
    11. Nazaire Jean-Baptiste
    12. Robin Carroll
    13. Stephanie L. Foster
    14. Mit Patel
    15. Madison Ellis
    16. Venkata-Viswanadh Edara
    17. Nahara Vargas Maldonado
    18. Mahnaz Minai
    19. Lauren McCormick
    20. Christopher Cole Honeycutt
    21. Bianca M. Nagata
    22. Kevin W. Bock
    23. Caitlyn N. M. Dulan
    24. Jamilet Cordon
    25. John-Paul M. Todd
    26. Elizabeth McCarthy
    27. Laurent Pessaint
    28. Alex Van Ry
    29. Brandon Narvaez
    30. Daniel Valentin
    31. Anthony Cook
    32. Alan Dodson
    33. Katelyn Steingrebe
    34. Dillon R. Flebbe
    35. Saule T. Nurmukhambetova
    36. Sucheta Godbole
    37. Amy R. Henry
    38. Farida Laboune
    39. Jesmine Roberts-Torres
    40. Cynthia G. Lorang
    41. Shivani Amin
    42. Jessica Trost
    43. Mursal Naisan
    44. Manjula Basappa
    45. Jacquelyn Willis
    46. Lingshu Wang
    47. Wei Shi
    48. Nicole A. Doria-Rose
    49. Adam S. Olia
    50. Cuiping Liu
    51. Darcy R. Harris
    52. Andrea Carfi
    53. John R. Mascola
    54. Peter D. Kwong
    55. Darin K. Edwards
    56. Hanne Andersen
    57. Mark G. Lewis
    58. Kizzmekia S. Corbett
    59. Martha C. Nason
    60. Adrian B. McDermott
    61. Mehul S. Suthar
    62. Ian N. Moore
    63. Mario Roederer
    64. Nancy J. Sullivan
    65. Daniel C. Douek
    66. Robert A. Seder

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Estimation and interpretation of vaccine efficacy in COVID-19 randomized clinical trials

    1. Hege Michiels
    2. An Vandebosch
    3. Stijn Vansteelandt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Safety and immunogenicity of an egg-based inactivated Newcastle disease virus vaccine expressing SARS-CoV-2 spike: Interim results of a randomized, placebo-controlled, phase 1/2 trial in Vietnam

    1. Anh Duc Dang
    2. Thiem Dinh Vu
    3. Ha Hai Vu
    4. Van Thanh Ta
    5. Anh Thi Van Pham
    6. Mai Thi Ngoc Dang
    7. Be Van Le
    8. Thai Huu Duong
    9. Duoc Van Nguyen
    10. Saranath Lawpoolsri
    11. Pailinrut Chinwangso
    12. Jason S. McLellan
    13. Ching-Lin Hsieh
    14. Adolfo Garcia-Sastre
    15. Peter Palese
    16. Weina Sun
    17. Jose L. Martinez
    18. Irene Gonzalez-Dominguez
    19. Stefan Slamanig
    20. Juan Manuel Carreño
    21. Johnstone Tcheou
    22. Florian Krammer
    23. Ariel Raskin
    24. Huong Minh Vu
    25. Thang Cong Tran
    26. Huong Mai Nguyen
    27. Laina D. Mercer
    28. Rama Raghunandan
    29. Manjari Lal
    30. Jessica A. White
    31. Richard Hjorth
    32. Bruce L. Innis
    33. Rami Scharf

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Results From the REsCue Trial: A Randomized Controlled Trial with Extended-Release Calcifediol in Symptomatic Outpatients with COVID-19

    1. Charles W. Bishop
    2. Akhtar Ashfaq
    3. Joel Z. Melnick
    4. Enrique Vazquez-Escarpanter
    5. Jonathan A. Fialkow
    6. Stephen A. Strugnell
    7. John Choe
    8. Kamyar Kalantar-Zadeh
    9. Noah C. Federman
    10. David Ng
    11. John S. Adams

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. A large outbreak of COVID-19 in a UK prison, October 2020 to April 2021

    1. James P. Adamson
    2. Christopher Smith
    3. Nicole Pacchiarini
    4. Thomas Richard Connor
    5. Janet Wallsgrove
    6. Ian Coles
    7. Clare Frost
    8. Angharad Edwards
    9. Jaisi Sinha
    10. Catherine Moore
    11. Steph Perrett
    12. Christie Craddock
    13. Clare Sawyer
    14. Alison Waldram
    15. Alicia Barrasa
    16. Daniel Rh. Thomas
    17. Philip Daniels
    18. Heather Lewis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. VE607 stabilizes SARS-CoV-2 Spike in the “RBD-up” conformation and inhibits viral entry

    1. Shilei Ding
    2. Irfan Ullah
    3. Shang Yu Gong
    4. Jonathan R. Grover
    5. Mohammadjavad Mohammadi
    6. Yaozong Chen
    7. Dani Vézina
    8. Guillaume Beaudoin-Bussières
    9. Vijay Tailor Verma
    10. Guillaume Goyette
    11. Fleur Gaudette
    12. Jonathan Richard
    13. Derek Yang
    14. Amos B. Smith
    15. Marzena Pazgier
    16. Marceline Côté
    17. Cameron Abrams
    18. Priti Kumar
    19. Walther Mothes
    20. Pradeep D. Uchil
    21. Andrés Finzi
    22. Christian Baron

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Risk factors for severe COVID-19 differ by age for hospitalized adults

    1. Sevda Molani
    2. Patricia V. Hernandez
    3. Ryan T. Roper
    4. Venkata R. Duvvuri
    5. Andrew M. Baumgartner
    6. Jason D. Goldman
    7. Nilüfer Ertekin-Taner
    8. Cory C. Funk
    9. Nathan D. Price
    10. Noa Rappaport
    11. Jennifer J. Hadlock

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Comparative performance of two automated machine learning platforms for COVID-19 detection by MALDI-TOF-MS

    1. Hooman H. Rashidi
    2. John Pepper
    3. Taylor Howard
    4. Karina Klein
    5. Larissa May
    6. Samer Albahra
    7. Brett Phinney
    8. Michelle R. Salemi
    9. Nam K. Tran

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. SurvMaximin: Robust federated approach to transporting survival risk prediction models

    1. Xuan Wang
    2. Harrison G. Zhang
    3. Xin Xiong
    4. Chuan Hong
    5. Griffin M. Weber
    6. Gabriel A. Brat
    7. Clara-Lea Bonzel
    8. Yuan Luo
    9. Rui Duan
    10. Nathan P. Palmer
    11. Meghan R. Hutch
    12. Alba Gutiérrez-Sacristán
    13. Riccardo Bellazzi
    14. Luca Chiovato
    15. Kelly Cho
    16. Arianna Dagliati
    17. Hossein Estiri
    18. Noelia García-Barrio
    19. Romain Griffier
    20. David A. Hanauer
    21. Yuk-Lam Ho
    22. John H. Holmes
    23. Mark S. Keller
    24. Jeffrey G. Klann MEng
    25. Sehi L'Yi
    26. Sara Lozano-Zahonero
    27. Sarah E. Maidlow
    28. Adeline Makoudjou
    29. Alberto Malovini
    30. Bertrand Moal
    31. Jason H. Moore
    32. Michele Morris
    33. Danielle L. Mowery
    34. Shawn N Murphy
    35. Antoine Neuraz
    36. Kee Yuan Ngiam
    37. Gilbert S. Omenn
    38. Lav P. Patel
    39. Miguel Pedrera-Jiménez
    40. Andrea Prunotto
    41. Malarkodi Jebathilagam Samayamuthu
    42. Fernando J Sanz Vidorreta
    43. Emily R. Schriver
    44. Petra Schubert
    45. Pablo Serrano-Balazote
    46. Andrew M. South
    47. Amelia L.M. Tan
    48. Byorn W.L. Tan
    49. Valentina Tibollo
    50. Patric Tippmann
    51. Shyam Visweswaran
    52. Zongqi Xia
    53. William Yuan
    54. Daniela Zöller
    55. Isaac S. Kohane
    56. Paul Avillach
    57. Zijian Guo
    58. Tianxi Cai

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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