Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review.

Journal: BMJ open
Published Date: Dec 6, 2021

Abstract

OBJECTIVE: To review biomarker discovery studies using omics data for patient stratification which led to clinically validated FDA-cleared tests or laboratory developed tests, in order to identify common characteristics and derive recommendations for future biomarker projects.

Authors

  • Enrico Glaab
    Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 4362 Esch-sur-Alzette, Luxembourg.
  • Armin Rauschenberger
    Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 4362 Esch-sur-Alzette, Luxembourg.
  • Rita Banzi
    Center for Health Regulatory Policies, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.
  • Chiara Gerardi
    Center for Health Regulatory Policies, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.
  • Paula Garcia
    European Clinical Research Infrastructure Network, ECRIN, Paris, France.
  • Jacques Demotes
    European Clinical Research Infrastructure Network, ECRIN, Paris, France.

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