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. Preclinical study of a DNA vaccine targeting SARS-CoV-2

    1. Hiroki Hayashi
    2. Jiao Sun
    3. Yuka Yanagida
    4. Takako Otera
    5. Ritsuko Kubota-Koketsu
    6. Tatsuo Shioda
    7. Chikako Ono
    8. Yoshiharu Matsuura
    9. Hisashi Arase
    10. Shota Yoshida
    11. Ryo Nakamaru
    12. Nan Ju
    13. Ryoko Ide
    14. Akiko Tenma
    15. Sotaro Kawabata
    16. Takako Ehara
    17. Makoto Sakaguchi
    18. Hideki Tomioka
    19. Munehisa Shimamura
    20. Sachiko Okamoto
    21. Yasunori Amaishi
    22. Hideto Chono
    23. Junichi Mineno
    24. Takao Komatsuno
    25. Yoshimi Saito
    26. Hiromi Rakugi
    27. Ryuichi Morishita
    28. Hironori Nakagami

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Cohort study to evaluate the effect of vitamin D, magnesium, and vitamin B12 in combination on progression to severe outcomes in older patients with coronavirus (COVID-19)

    1. Chuen Wen Tan
    2. Liam Pock Ho
    3. Shirin Kalimuddin
    4. Benjamin Pei Zhi Cherng
    5. Yii Ean Teh
    6. Siew Yee Thien
    7. Hei Man Wong
    8. Paul Jie Wen Tern
    9. Manju Chandran
    10. Jason Wai Mun Chay
    11. Chandramouli Nagarajan
    12. Rehena Sultana
    13. Jenny Guek Hong Low
    14. Heng Joo Ng

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Cross-reactive serum and memory B-cell responses to spike protein in SARS-CoV-2 and endemic coronavirus infection

    1. Ge Song
    2. Wan-ting He
    3. Sean Callaghan
    4. Fabio Anzanello
    5. Deli Huang
    6. James Ricketts
    7. Jonathan L. Torres
    8. Nathan Beutler
    9. Linghang Peng
    10. Sirena Vargas
    11. Jon Cassell
    12. Mara Parren
    13. Linlin Yang
    14. Caroline Ignacio
    15. Davey M. Smith
    16. James E. Voss
    17. David Nemazee
    18. Andrew B. Ward
    19. Thomas Rogers
    20. Dennis R. Burton
    21. Raiees Andrabi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Mitigating the transmission of infection and death due to SARS-CoV-2 through non-pharmaceutical interventions and repurposing drugs

    1. Chittaranjan Mondal
    2. Debadatta Adak
    3. Abhijit Majumder
    4. Nandadulal Bairagi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Exosome-Mediated mRNA Delivery For SARS-CoV-2 Vaccination

    1. Shang Jui Tsai
    2. Chenxu Guo
    3. Alanna Sedgwick
    4. Saravana Kanagavelu
    5. Justin Nice
    6. Sanjana Shetty
    7. Connie Landaverde
    8. Nadia A. Atai
    9. Stephen J. Gould

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Connecting in COVID 19: Neurology telephonic-follow-up experience in the pandemic (Preprint)

    1. Deepti Vibha
    2. MV Padma Srivastava
    3. Kameshwar Prasad
    4. Manjari Tripathi
    5. Achal Kumar Srivastava
    6. Rohit Bhatia
    7. Mamta Bhushan Singh
    8. Vishnu VY
    9. Roopa Rajan
    10. Awadh Kishor Pandit
    11. Rajesh Kumar Singh
    12. Animesh Das
    13. Anu Gupta
    14. Arunmozhimaran Elavarasi
    15. Divya MR
    16. Bhargavi Ramanujam
    17. Ahmadulla Shariff

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Incubation period and serial interval of Covid-19 in a chain of infections in Bahia Blanca (Argentina)

    1. Valentina Viego
    2. Milva Geri
    3. Juan Castiglia
    4. Ezequiel Jouglard

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Green Tea Catechins Against COVID-19: Lower COVID-19 Morbidity and Mortality in Countries with Higher per capita Green Tea Consumption

    1. Maksim Storozhuk

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. High-resolution epitope mapping and characterization of SARS-CoV-2 antibodies in large cohorts of subjects with COVID-19

    1. Winston A. Haynes
    2. Kathy Kamath
    3. Joel Bozekowski
    4. Elisabeth Baum-Jones
    5. Melissa Campbell
    6. Arnau Casanovas-Massana
    7. Patrick S. Daugherty
    8. Charles S. Dela Cruz
    9. Abhilash Dhal
    10. Shelli F. Farhadian
    11. Lynn Fitzgibbons
    12. John Fournier
    13. Michael Jhatro
    14. Gregory Jordan
    15. Jon Klein
    16. Carolina Lucas
    17. Debra Kessler
    18. Larry L. Luchsinger
    19. Brian Martinez
    20. M. Catherine Muenker
    21. Lauren Pischel
    22. Jack Reifert
    23. Jaymie R. Sawyer
    24. Rebecca Waitz
    25. Elsio A. Wunder
    26. Minlu Zhang
    27. Yale IMPACT Team
    28. Kelly Anastasio
    29. Michael H. Askenase
    30. Natasha C. Balkcom
    31. Maria Batsu
    32. Santos Bermejo
    33. Kristina Brower
    34. Molly L. Bucklin
    35. Staci Cahill
    36. Yiyun Cao
    37. Michael Chiorazzi
    38. Caitlin J. Chun
    39. Rupak Datta
    40. Giuseppe DeIuliis
    41. Coriann E. Dorgay
    42. Rebecca Earnest
    43. John Fournier
    44. Bertie Geng
    45. Ryan Handoko
    46. William Khoury-Hanold
    47. Roy Herbst
    48. Lynda Knaggs
    49. Maxine Kuang
    50. Sarah Lapidus
    51. Zitong Lin
    52. Peiwen Lu
    53. Tianyang Mao
    54. Anjelica Martin
    55. Irene Matos
    56. David McDonald
    57. Maksym Minasyan
    58. Adam J. Moore
    59. Nida Naushad
    60. Allison Nelson
    61. Jessica Nouws
    62. Angela Nunez
    63. Hong-Jai Park
    64. Xiaohua Peng
    65. Alexander James Robertson
    66. Tyler Rice
    67. Kadi-Ann Rose
    68. Wade Schulz
    69. Lorenzo Sewanan
    70. Lokesh Sharma
    71. Denise Shepard
    72. Julio Silva
    73. Michael Simonov
    74. Mikhail Smolgovsky
    75. Nicole Sonnert
    76. Ariktha Srivathsan
    77. Yvette Strong
    78. Codruta Todeasa
    79. Jordan Valdez
    80. Sofia Velazquez
    81. Pavithra Vijayakumar
    82. Elizabeth B. White
    83. Alice Zhao
    84. Akiko Iwasaki
    85. Albert Ko
    86. John C. Shon

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes

    1. Anthony Ortiz
    2. Anusua Trivedi
    3. Jocelyn Desbiens
    4. Marian Blazes
    5. Caleb Robinson
    6. Sunil Gupta
    7. Rahul Dodhia
    8. Pavan K. Bhatraju
    9. W. Conrad Liles
    10. Aaron Lee
    11. Juan M. Lavista Ferres

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 1534 of 2361 Older