// App-Quantinova.ai

PB0499 : Bleeding risk assessment in end-stage kidney disease: validation of existing risk scores and evaluation of a machine learning-based approach

Researchers

Presenter

  • S. Nopp

Principal Investigators

  • S. Schmaldienst

  • R. Klauser-Braun

  • M. Lorenz

  • B. Bauer

  • I. Pabinger

  • M. Semann

  • O. Knigsbrgge

  • C. Ay

Medical Centers

  • Medical University of Vienna, Vienna, Austria

  • Clinic Favoriten, Vienna, Wien, Austria

  • Clinic Donaustadt, Vienna, Wien, Austria

  • Vienna Dialysis Centre, Vienna, Austria, Vienna, Wien, Austria

  • Dept. of Medicine I, Div. of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria

  • Clinic Favoriten, Vienna, Wien, Austria

  • Medical University of Vienna, Vienna, Austria, Vienna, Wien, Austria

Locations

  • Austria

Companies

  • N/A

Study Components

Therapeutic Area

  • Cardiovascular (CVS)

  • Nephrology

  • Pulmonary/Respiratory Diseases

  • Blood/haematological Diseases

Disease

  • Microvascular complications of diabetes 1

  • Arrhythmia

  • Venous thrombosis

  • Renal disease

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • Cohort

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A

Copyright © 2026. QuantiNova All rights reserved