Actionable Intelligence Research for Early Lung Cancer Detection

Principal Investigator

Name
Jia Wu

Degrees
Ph.D.

Institution
MD Anderson Cancer Center

Position Title
Assistant Professor

Email
jwu11@mdanderson.org

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-690

Initial CDAS Request Approval
Jul 7, 2020

Title
Actionable Intelligence Research for Early Lung Cancer Detection

Summary
The overall aim is to build a personalized risk model using advanced deep learning and reinforcement learning algorithms that can improve lung cancer screening efficiency.

Aims

Aim 1: Develop robust computational pipelines to comprehensively characterize lung nodule and parenchyma as well as their spatiotemporal evolution from serial low dose CT scans.

Aim 2: Investigate the clinical and biological relevance through integrated analysis of CT-derived features, digital pathology slides, and clinical data

Collaborators

Chandrajit Bajaj, UT Austin