1352. A Precision Medicine Approach to Predicting “Long COVID” through Machine Learning Analysis of Whole Blood Transcriptome Data

Nusrat J Epsi(Henry M. Jackson Foundation), Simon Pollett(Uniformed Services University of the Health Sciences), Timothy Burgess(Uniformed Services University of the Health Sciences), Stephanie A Richard(Henry M. Jackson Foundation), Clifton L. Dalgard(Uniformed Services University of the Health Sciences), Evan Ewers(Alexander T. Augusta Military Medical Center), Katrin Mende, Tahaniyat Lalani(Henry M. Jackson Foundation), Catherine M Berjohn(Henry M. Jackson Foundation), Christina Schofield(Madigan Army Medical Center), Ryan Flanagan(Uniformed Services University of the Health Sciences), Nikhil Huprikar(Uniformed Services University of the Health Sciences), Rupal Mody(William Beaumont Army Medical Center), Mark P. Simons(Uniformed Services University of the Health Sciences), Rhonda E Colombo(Henry M. Jackson Foundation), David A Lindholm(Uniformed Services University of the Health Sciences), David Saunders(Uniformed Services University of the Health Sciences), Josh Chenoweth(Henry M. Jackson Foundation), Margaret Edwards(Henry M. Jackson Foundation), David R. Tribble(Uniformed Services University of the Health Sciences), Milissa U Jones(Tripler Army Medical Center), Alfred G. Smith(Naval Medical Center Portsmouth), Brian K. Agan(Henry M. Jackson Foundation), Robert J. O’Connell(Uniformed Services University of the Health Sciences), Anuradha Ganesan
Open Forum Infectious Diseases
November 27, 2023
Cited by 0


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