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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
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