Communications Medicine (Jul 2022)

A diagnostic classifier for gene expression-based identification of early Lyme disease

  • Venice Servellita,
  • Jerome Bouquet,
  • Alison Rebman,
  • Ting Yang,
  • Erik Samayoa,
  • Steve Miller,
  • Mars Stone,
  • Marion Lanteri,
  • Michael Busch,
  • Patrick Tang,
  • Muhammad Morshed,
  • Mark J. Soloski,
  • John Aucott,
  • Charles Y. Chiu

DOI
https://doi.org/10.1038/s43856-022-00127-2
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 10

Abstract

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Servellita et al. develop a machine learning-based classifier to diagnose Lyme disease using gene expression data. The classifier achieves high sensitivity for early infections, even prior to positivity on antibody testing.