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 |
|---|---|---|---|---|---|
| A Deep Learning Model for Improved Cancer Risk Prediction in Sequential Lung Screening X-Rays | Regina Barzilay | Massachusetts Institute of Technology | NLST | Feb 16, 2022 | NLST-885 |
| Building integrative multi-modal and interpretable AI systems for personalized lung cancer therapy | Ruijiang Li | Stanford University | NLST | Feb 16, 2022 | NLST-884 |
| Optimization of lung cancer screening interval by deep learning-based risk prediction | Adam Alessio | Michigan State University | NLST | Feb 16, 2022 | NLST-883 |
| Personalised lung cancer treatment through outcome predictions and patient stratification | Charles-Antoine Collins Fekete | University College London | NLST | Feb 16, 2022 | NLST-881 |
| External Validation of an Intelligent Diagnosis Model for LDCT. | Zhangyan Lyu | Tianjin Medical University Cancer Institute and Hospital | NLST | Feb 2, 2022 | NLST-880 |
| Progression prediction of lung cancer using deep learning model | Sunghoon Kwon | Seoul National University | NLST | Feb 2, 2022 | NLST-879 |
| Assessing the Generalizability of Findings from the NLST | Louise Henderson | University of North Carolina at Chapel Hill | NLST | Jan 26, 2022 | NLST-876 |
| Development and validation of a neural network to detect and describe lung nodules | Alexandre Compas | Gleamer SAS | NLST | Jan 26, 2022 | NLST-878 |
| Development of a CT-based Automated Radiomics Technique for Nodule Detection, Malignancy Prediction and Histological Subtyping of Lung Cancer. | Alexander Nicol | The Hong Kong Polytechnic University | NLST | Jan 26, 2022 | NLST-877 |
| Lung Abnormality Detection using Deep learning | Harshil Soni | System Level Solutions India Ptv.Ltd. | NLST | Jan 26, 2022 | NLST-875 |
| Deep learning AIDS medicine | wei zhang | East China Normal University | NLST | Jan 26, 2022 | NLST-873 |
| Fully automated end to end analysis of non-small-cell lung carcinoma using deep learning techniques | Eranga Ukwatta | University of Guelph | NLST | Jan 26, 2022 | NLST-871 |
| Unsupervised analysis of thorax CT datasets | Marian Himstedt | University of Luebeck | NLST | Jan 18, 2022 | NLST-870 |
| Federated Validation of Lung Nodule Detection Algorithms. | Brian Ayers | Gesund AI | NLST | Jan 18, 2022 | NLST-869 |
| Clinically Applicable Deep Learning Pipeline for Diagnosis of Mediastinal Neoplasms | Hengrui Liang | The First Affiliated Hospital of Guangzhou Medical University | NLST | Jan 12, 2022 | NLST-868 |
| Pulmonary Adenocarcinoma of Low Malignant Potential | Eric Burks | Boston University School Of Medicine | NLST | Jan 7, 2022 | NLST-867 |
| Chest Radiograph and Computed Tomography Phenotyping For Longevity Prediction Using Deep Learning – Training and Validation in Chinese Patients | Varut Vardhanabhuti | The University of Hong Kong | NLST | Jan 5, 2022 | NLST-865 |
| Low-dose CT scan screening for lung cancer: To establish an accurate predictive model through radiomics methods and optimize follow-up CT screening strategies | Yin Cai | The Hong Kong Polytechnic University | NLST | Dec 30, 2021 | NLST-863 |
| Multi-Organ Lesion Analysis using Deep Learning in Chest CT | Le Lu | Alibaba DAMO Academy | NLST | Nov 30, 2021 | NLST-860 |
| Lower level of education matters when it comes to compliance to lung cancer screening | Akeel Alali | King Abdullah International Medical Research Center’s (KAIMRC) and King Saud bin Abdulaziz university for health sciences | NLST | Nov 30, 2021 | NLST-856 |