// App-Quantinova.ai

91 : Advanced machine learning techniques to identify a panel of biomarkers that identify nonalcoholic steatohepatitis

Researchers

Presenter

  • Saisakul Chernbumroong

Principal Investigators

  • Jane I. Grove

  • Stuart Astbury

  • Diana J. Leeming

  • Philip Kaye

  • Daniel J. Antoine

  • Caroline Hoad

  • Susan Francis

  • Indra Neil Guha

  • Michael Miller

  • John F. Dillon

  • Michael E. Allison

  • Guruprasad P. Aithal

Medical Centers

  • School of Medicine, University of Nottingham, Nottingham, United Kingdom

  • NIHR Nottingham Digestive Diseases Biomedical Research Unit, Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham, UK

  • Biomarkers and Research, Nordic Bioscience, Herlev, Denmark,

  • MRC Centre for Drug Safety Science, Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, United Kingdom

  • Sir Peter Mansfield Imaging Centre, Nottingham, United Kingdom

  • Medical Research Institute, Ninewells Hospital and Medical School, Dundee, United Kingdom

  • NIHR Research Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom

  • Addenbrookes Hospital, Cambridge University Hospital, Cambridge, United Kingdom

  • NIHR Research Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom

Locations

  • United Kingdom

  • Denmark

Companies

  • N/A

Study Components

Therapeutic Area

  • Gastroenterology (GU)

Disease

  • Nonalcoholic steatohepatitis

  • Nonalcoholic fatty liver disease

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A


Study Design

  • Prospective

  • Cohort

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A