Weakly-supervised learning to develop an AI-based risk-stratification of PLCO cancers
Principal Investigator
Name
Okyaz Eminaga
Degrees
M.D., Ph.D.
Institution
Okyaz Eminaga
Position Title
Instructor
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCOI-1111
Initial CDAS Request Approval
Nov 28, 2022
Title
Weakly-supervised learning to develop an AI-based risk-stratification of PLCO cancers
Summary
The current study aims to examine the capability of AI to learn features from PLCO cancers and develop risk-stratification tools that are prognostic. We will further evaluate AI on independent dataset to validate our concept.
Aims
1) To build a framework to process and tiles histology images
2) To train novel AI models to learn features association with cancer-specific survival
3) To validate AI models on independent datasets with prognostic and molecular biology informations.
Collaborators
Mahmoud Abbas, University of Muenster.