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 |
---|---|---|---|---|---|
Enhancing lung cancer screening with low-dose CT: a comprehensive study on quantitative tools, data standardization, and reproducibility | Stefano Diciotti | Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), Alma Mater Studiorum - University of Bologna | NLST | Jan 2, 2024 | NLST-1175 |
Study on survival prediction method of lung cancer patients based on multimodal data | Thomas Fan | DongHua University | NLST | Jan 2, 2024 | NLST-1176 |
Integrating NLST Data with InferRead CT Lung AI for Collaborative Learning on Collective Minds Radiology Platform | Swati Vara | Infervision UK LTD | NLST | Jan 2, 2024 | NLST-1174 |
Deep learning based Lung disease(COPD) classification | Jinhao Huo | Ningbo University | NLST | Jan 2, 2024 | NLST-1173 |
Identifying LDCT imaging features associated with second primary lung cancer risk among lung cancer patients | Summer Han | Stanford University School of Medicine | NLST | Dec 18, 2023 | NLST-1171 |
Applying deep learning models to predict nodal metastasis from pathology imaging | Sanjay Aneja | Yale School of Medicine | NLST | Dec 11, 2023 | NLST-1170 |
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 |
Cancer Health Equity in Context | Melody Schiaffino | University of California San Diego | NLST | Oct 16, 2023 | NLST-1138 |
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 |