// App-Quantinova.ai

209 : Multimodal biomarkers overcome sampling bias to predict presence of aggressive localized prostate cancer.

Researchers

Presenter

  • David Monty Berman

Principal Investigators

  • Robert Lesurf

  • Palak Patel

  • Walead Ebrahimizadeh

  • Jane Bayani

  • Nadia Boufaied

  • Tamara Jamaspishvili

  • Karl-Philippe Guerard

  • Dan Dion

  • Laura A Lee

  • Vasundara Venkateswaran

  • Simone Chevalier

  • Fadi Brimo

  • Ralph Buttyan

  • Axel A Thomson

  • Paul C Park

  • Jacques Lapointe

  • Paul Christopher Boutros

  • John Bartlett

Medical Centers

  • Division of Cancer Care & Epidemiology, Cancer Research Institute, Queen's University, Kingston, ON, Canada

  • Ontario Institute for Cancer Research, Toronto, ON, Canada

  • Queen's University, Kingston, ON, CA

  • McGill University & McGill University Health Centre, Montreal, Quebec, Canada

  • Montreal University, Montreal, QC, Canada

  • Division of Cancer Care & Epidemiology, Cancer Research Institute, Queen's University, Kingston, ON, Canada

  • University of Toronto, Toronto, ON, Canada

  • McGill University Health Centre Reproductive Center, Montreal, QC, Canada

  • McGill University Health Centre, Montreal, QC, Canada

  • Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada

Locations

  • Canada

  • United Kingdom

Companies

  • N/A

Study Components

Therapeutic Area

  • Oncology (ONC)

  • Urology

Disease

  • Prostate cancer

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