Methods for Early Detection of Lung Cancer
Principal Investigator
Name
Rok Sosic
Degrees
Ph.D.
Institution
Stanford University
Position Title
Senior Researcher
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-461
Initial CDAS Request Approval
Dec 28, 2018
Title
Methods for Early Detection of Lung Cancer
Summary
The aims of the project are to study the outcomes of the National Lung Screening Trial and develop new methods to identify an early onset of lung cancer and to predict the survival rate. We plan to use machine learning and network analysis methods to accomplish our aims.
Aims
- Build a comprehensive, unified model of all the data available through NLST, such as treatment control, high dimensional lung scans, hard ground truths such as death, multiple screenings;
- Develop methods to identify an early onset of lung cancer;
- Develop methods to predict the survival rate.
Collaborators
Jure Leskovec, Stanford University