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Cholesterol Contributes to Risk, Severity, and Machine Learning-Driven Diagnosis of Lyme Disease.
Forrest, Iain S; O'Neal, Anya J; Pedra, Joao H F; Do, Ron.
Affiliation
  • Forrest IS; Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • O'Neal AJ; Medical Scientist Training Program, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Pedra JHF; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Do R; Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Clin Infect Dis ; 77(6): 839-847, 2023 09 18.
Article in En | MEDLINE | ID: mdl-37227948
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Full text: 1 Database: MEDLINE Main subject: Lyme Disease / Hypercholesterolemia Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Clin Infect Dis Journal subject: DOENCAS TRANSMISSIVEIS Year: 2023 Type: Article Affiliation country: United States
Fulltext
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Print
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PubMed Links
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Full text: 1 Database: MEDLINE Main subject: Lyme Disease / Hypercholesterolemia Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Clin Infect Dis Journal subject: DOENCAS TRANSMISSIVEIS Year: 2023 Type: Article Affiliation country: United States