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Nonalcoholic fatty liver disease: use of diagnostic biomarkers and modalities in clinical practice.

Saleh A AlqahtaniJörn Markus Schattenberg
Published in: Expert review of molecular diagnostics (2021)
In the future, these diagnostics tests will help clinicians to establish patient care pathways and support the identification of relevant subgroups for monitoring and pharmacotherapy. In addition, researchers will be guided to better understand available scores and support the development of future prediction systems. These will likely include multiparametric aspects of the disease and machine learning algorithms will refine their use and integration with large datasets.
Keyphrases
  • machine learning
  • clinical practice
  • current status
  • artificial intelligence
  • deep learning
  • big data
  • palliative care
  • smoking cessation
  • rna seq
  • bioinformatics analysis