Predictive models with the use of omics and supervised machine learning to diagnose non-alcoholic fatty liver disease: A "non-invasive alternative" to liver biopsy?

Journal: Metabolism: clinical and experimental
Published Date:

Abstract

No abstract available for this article.

Authors

  • Niki Katsiki
    First Department of Internal Medicine, Division of Endocrinology and Metabolism, Diabetes Center, Medical School, AHEPA University Hospital, Thessaloniki, Greece. Electronic address: nikikatsiki@hotmail.com.
  • Amalia Gastaldelli
    Cardiometabolic Risk Laboratory, Institute of Clinical Physiology, Pisa, Italy.
  • Dimitri P Mikhailidis
    Department of Clinical Biochemistry, Royal Free Hospital Campus, University College London Medical School, University College London (UCL), London, UK.