Methods for Early Detection of Lung Cancer

Principal Investigator

Name
Rok Sosic

Degrees
Ph.D.

Institution
Stanford University

Position Title
Senior Researcher

Email
rok@cs.stanford.edu

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