1. Medicine

Inference from longitudinal laboratory tests characterizes temporal evolution of COVID-19-associated coagulopathy (CAC)

  1. Colin Pawlowski
  2. Tyler Wagner
  3. Arjun Puranik
  4. Karthik Murugadoss
  5. Liam Loscalzo
  6. AJ Venkatakrishnan
  7. Rajiv K Pruthi
  8. Damon E Houghton
  9. John C O'Horo
  10. William G Morice
  11. Amy W Williams
  12. Gregory J Gores
  13. John Halamka
  14. Andrew D Badley, MD
  15. Elliot S Barnathan
  16. Hideo Makimura
  17. Najat Khan
  18. Venky Soundararajan  Is a corresponding author
  1. nference, United States
  2. Mayo Clinic, United States
  3. Mayo Clinic Laboratories, United States
  4. Janssen pharmaceutical companies of Johnson & Johnson (J&J), United States
  5. Janssen, United States
https://doi.org/10.7554/eLife.59209
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Cite this article
  1. Colin Pawlowski
  2. Tyler Wagner
  3. Arjun Puranik
  4. Karthik Murugadoss
  5. Liam Loscalzo
  6. AJ Venkatakrishnan
  7. Rajiv K Pruthi
  8. Damon E Houghton
  9. John C O'Horo
  10. William G Morice
  11. Amy W Williams
  12. Gregory J Gores
  13. John Halamka
  14. Andrew D Badley, MD
  15. Elliot S Barnathan
  16. Hideo Makimura
  17. Najat Khan
  18. Venky Soundararajan
(2020)
Inference from longitudinal laboratory tests characterizes temporal evolution of COVID-19-associated coagulopathy (CAC)
eLife 9:e59209.
https://doi.org/10.7554/eLife.59209
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  2. Version of Record published
  3. Accepted Manuscript published
  4. Accepted
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  1. Colin Pawlowski
  2. Tyler Wagner
  3. Arjun Puranik
  4. Karthik Murugadoss
  5. Liam Loscalzo
  6. AJ Venkatakrishnan
  7. Rajiv K Pruthi
  8. Damon E Houghton
  9. John C O'Horo
  10. William G Morice
  11. Amy W Williams
  12. Gregory J Gores
  13. John Halamka
  14. Andrew D Badley, MD
  15. Elliot S Barnathan
  16. Hideo Makimura
  17. Najat Khan
  18. Venky Soundararajan
(2020)
Inference from longitudinal laboratory tests characterizes temporal evolution of COVID-19-associated coagulopathy (CAC)
eLife 9:e59209.
https://doi.org/10.7554/eLife.59209

Share this article

https://doi.org/10.7554/eLife.59209