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Cholesterol contributes to risk, severity, and machine learning-driven diagnosis of Lyme disease.

Iain S ForrestAnya J O'NealJoao H F PedraRon Do
Published in: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America (2023)
These results demonstrate the value of large-scale genetic and clinical data to reveal host factors underlying infectious disease biology, risk, and prognosis, and the potential for their clinical translation to machine learning diagnostics that do not need specialized assays.
Keyphrases
  • machine learning
  • infectious diseases
  • big data
  • artificial intelligence
  • palliative care
  • genome wide
  • high throughput
  • gene expression
  • electronic health record
  • dna methylation
  • single cell