A Machine Learning Approach to Identify a Circulating MicroRNA Signature for Alzheimer Disease.

Journal: The journal of applied laboratory medicine
Published Date: Jan 1, 2020

Abstract

BACKGROUND: Accurate diagnosis of Alzheimer disease (AD) involving less invasive molecular procedures and at reasonable cost is an unmet medical need. We identified a serum miRNA signature for AD that is less invasive than a measure in cerebrospinal fluid.

Authors

  • Xuemei Zhao
    Translational Molecular Biomarkers, MRL, Merck & Co., Kenilworth, NJ.
  • John Kang
    Department of Radiation Oncology, University of Washington, Seattle, Washington, USA.
  • Vladimir Svetnik
    Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, NJ, United States.
  • Donald Warden
    Department of Pharmacology, Oxford University, Oxford, UK.
  • Gordon Wilcock
    Nuffield Department of Clinical Neuroscience, John Radcliffe Hospital, Oxford, UK.
  • A David Smith
    Department of Pharmacology, Oxford University, Oxford, UK.
  • Mary J Savage
    Translational Companion Diagnostics, MRL, Merck & Co., Kenilworth, NJ.
  • Omar F Laterza
    Translational Molecular Biomarkers, MRL, Merck & Co., Kenilworth, NJ.

Keywords

External Resources

Popular Topics
Recent Journals