Approved NLST Projects
Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Develop generative AI models to enhance lung image processing for improved downstream clinical analysis | kibrom girum | Institut Curie | NLST | Dec 4, 2023 | NLST-1164 |
| Development of biomarkers of aging in chest x-ray images using deep learning | Yasuhito Mitsuyama | Osaka Metropolitan University | NLST | Dec 4, 2023 | NLST-1108 |
| Joint segmentation and registration of lung nodules | Feng Shixiang | South China University of Technology | NLST | Nov 13, 2023 | NLST-1158 |
| Prediction of clinical events by deep learning based on CT scan and anapath slide | Tanguy Perennec | Institut de Cancérologie de l'Ouest | NLST | Nov 13, 2023 | NLST-1157 |
| Lung Function Prediction Project Based on CT Images | boyu zhang | Artificial Intelligence Research and Development Center of Zhuhai Sanmed BIOTECH Ltd. | NLST | Nov 2, 2023 | NLST-1153 |
| Deep Learning Model Predicting Patient Prognosis based on Lung Cancer Pathological and Radiological Images | tian lin | Harbin Medical University | NLST | Nov 2, 2023 | NLST-1154 |
| Early Body Composition Adaptations in Lung Cancer Patients | Michael Toth | University of Vermont | NLST | Oct 31, 2023 | NLST-1152 |
| Association between BMI and OS with immune checkpoint inhibitor therapy for SCLC | Sinbad Xia | The First Affiliated Hospital, School of Medicine, Zhejiang University | NLST | Oct 31, 2023 | NLST-1150 |
| Advancing Lung Cancer Detection with AI: Screening Models and Risk Factor Analysis | IVAN MACIA | Fundación Centro de Tecnologías de Interacción Visual y Comunicaciones - Vicomtech | NLST | Oct 31, 2023 | NLST-1149 |
| Causal Estimators in Meta-analysis with Missing Data | Ruofan Bie | Brown University | NLST | Oct 24, 2023 | NLST-1146 |
| Risk Profile Assessment to Aid in Patient Selection Criteria for a Novel Lung Tissue Excision Tool in Lung Cancer Diagnosis and Intervention | Lance Black | Prana Thoracic | NLST | Oct 19, 2023 | NLST-1142 |
| Towards Explainable Deep Learning Model for Lung Nodule Diagnosis | Chenglong Wang | East China Normal University | NLST | Oct 19, 2023 | NLST-1141 |
| Advancing Equity in Lung Cancer Screening Referrals: A Focus on Asian, Native, Alaskan, Hawaiian, and Pacific Islander Communities | Amanda McCoy | Lincoln Memorial University Debusk College of Osteopathic Medicine | NLST | Oct 10, 2023 | NLST-1136 |
| HANSE POST | Jens Vogel-Clausen | Hannover Medical School | NLST | Oct 10, 2023 | NLST-1135 |
| Development of lung cancer risk scores for determination of risk adapted screening intervals | Rudolf Kaaks | German Cancer Research Center (DKFZ) | NLST | Oct 10, 2023 | NLST-1134 |
| Addressing equity in lung cancer early detection through identification of high risk clinical and radiographic features in minority and disadvantaged patients. | Ameen Salahudeen | The Board of Trustees of the University of Illinois on behalf of The University of Illinois at Chicago. | NLST | Oct 3, 2023 | NLST-1125 |
| Development and validation of prognostic models of lung cancer following low-dose computed tomographic screening | Fergus Imrie | University of Cambridge | NLST | Oct 3, 2023 | NLST-1132 |
| Lung Cancer Research | Md. Sultan Moheuddin | East West University | NLST | Oct 3, 2023 | NLST-1131 |
| Deep Learning Algorithm for Lung Adenocarcinoma Subtype Recognition Based on Multimodal Data | Ying Ji | Beijing Chao-Yang Hospital, Capital Medical University | NLST | Oct 3, 2023 | NLST-1133 |
| Incidental Finding of Coronary Calcium (CAC) in National Lung Screening Trial participants: Its Distribution and Potential Implication | Ilana Gareen | School of Public Health, Brown University | NLST | Sep 28, 2023 | NLST-1129 |