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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