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Aptamer based proteomic pilot study reveals a urine signature indicative of pediatric urinary tract infections.

Liang DongJoshua WatsonSha CaoSamuel ArreguiVijay SaxenaJohn KetzAbduselam K AwolDaniel M CohenJeffrey M CaterinoDavid S HainsAndrew L Schwarderer
Published in: PloS one (2020)
Biomarkers panel can be identified by the emerging technologies of aptamer-based proteomics and machine learning that offer the potential to increase UTI diagnostic accuracy, thereby limiting unneeded antibiotics.
Keyphrases
  • urinary tract infection
  • label free
  • machine learning
  • gold nanoparticles
  • sensitive detection
  • magnetic nanoparticles
  • artificial intelligence
  • big data
  • risk assessment
  • young adults