// App-Quantinova.ai

: A learning machine method to predict Post-operative Pancreatic Fistula after pancreaticoduodenectomy based on amylases value in the drains: a multicentre database analysis of 1638 patients

Researchers

Presenter

  • F. Giovinazzo

Principal Investigators

  • G.V. Dalla Riva

  • D. Greener

  • C. Morano

  • R. Linneman

  • M. Besselink

  • M. Abu Hilal

Medical Centers

  • Department of Surgery, Southampton University Hospital NHS Foundation Trust, United Kingdom

  • Statistics, University of British Columbia, Canada

  • Acute Medicine, Queen Alexandra Hospital, United Kingdom

  • University of British Columbia, Victoria, Canada

  • Surgery, Academic Medical Center, The Netherlands

Locations

  • United Kingdom

  • Canada

  • Netherlands

Companies

  • N/A

Study Components

Therapeutic Area

  • N/A

Disease

  • N/A

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A


Study Design

  • Multicenteric

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A