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Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning

Bruce K Patterson, Jose Guevara-Coto, Ram Yogendra, Edgar Francisco, Emily Long, Amruta Pise, Hallison Rodrigues, Purvi Parikh, Javier Mora, Rodrigo A Mora-Rodríguez
doi: https://doi.org/10.1101/2020.12.16.423122

Article Information

doi 
https://doi.org/10.1101/2020.12.16.423122
History 
  • December 22, 2020.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Bruce K Patterson1,*,
  2. Jose Guevara-Coto3,
  3. Ram Yogendra,
  4. Edgar Francisco,
  5. Emily Long,
  6. Amruta Pise,
  7. Hallison Rodrigues,
  8. Purvi Parikh,
  9. Javier Mora2 and
  10. Rodrigo A Mora-Rodríguez2
  1. 1IncellDx Inc, San Carlos, CA
  2. 2Lab of Tumor Chemosensitivity, CIET / DC Lab, Faculty of Microbiology, Universidad de Costa Rica
  3. 3Department of Computer Science and Informatics (ECCI), Universidad de Costa Rica
  1. ↵*Corresponding author: Bruce K. Patterson MD, 1541 Industrial Road, San Carlos, CA 94070, Tel: +1.650.777.7630, Fax: +1.650.587.1528, Email: brucep{at}incelldx.com
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Posted December 22, 2020.
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Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning
Bruce K Patterson, Jose Guevara-Coto, Ram Yogendra, Edgar Francisco, Emily Long, Amruta Pise, Hallison Rodrigues, Purvi Parikh, Javier Mora, Rodrigo A Mora-Rodríguez
bioRxiv 2020.12.16.423122; doi: https://doi.org/10.1101/2020.12.16.423122
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