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Approved NLST Projects

Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.

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Results: 870 (Showing 121 to 140)
Name Principal Investigator Institution Study Date Approved Project ID
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 and health outcomes in chest X-ray images using deep learning Yasuhito Mitsuyama Osaka Metropolitan University NLST Dec 4, 2023 NLST-1108
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
Early Body Composition Adaptations in Lung Cancer Patients Michael Toth University of Vermont NLST Oct 31, 2023 NLST-1152
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
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
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
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
Cancer risk after radiation exposure from low dose lung cancer screening Soon Ho Yoon Seoul National University Hospital NLST Sep 28, 2023 NLST-1127
Lung cancer classification on radiology reports using Natural language processing Cyrille KESIKU University of Deusto NLST Sep 19, 2023 NLST-1124
Reevaluating the Use of Race and Ethnicity in Medical Risk Assessments Sharad Goel Harvard University NLST Sep 5, 2023 NLST-1121
Comparability of heterogeneity of treatment effect findings from two randomized clinical trials datasets: application of machine-learning based algorithms Motohiko Adomi Harvard T.H. Chan School of Public Health NLST Sep 5, 2023 NLST-1119