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

Data-Only Studies
Biospecimen Studies
Name Principal Investigator Institution Study Date Approved Project ID
Prognostic implication of thoracic muscle and visceral fat in chest CT image in lung cancer screening participants Soon Ho Yoon Seoul National University Hospital NLST Jul 17, 2020 NLST-695
Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images Mohammad Soltanieh-ha Boston University NLST Jul 13, 2020 NLST-692
Deep learning model using multi-modal data for lung cancer survival prediction yingying zhu University of Texas, Arlington NLST Jul 7, 2020 NLST-684
Actionable Intelligence Research for Early Lung Cancer Detection Jia Wu MD Anderson Cancer Center NLST Jul 7, 2020 NLST-690
Lung Cancer Nodule Detection Using Algorithm. MUHAMMAD UMAIR NED UNIVERSITY NLST Jul 7, 2020 NLST-688
Adherence to the 2018 World Cancer Research Fund/American Institute for Cancer Research cancer prevention recommendations and pancreatic cancer incidence and mortality in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Guo-Chao Zhong The Second Affiliated Hospital of Chongqing Medical University PLCO Jun 30, 2020 PLCO-642
Development of CNN-based model in predicting patients outcomes Shaunagh McDermott Massachusetts General Hospital NLST Jun 30, 2020 NLST-686
Smart Radiology: an algorithm to predict the risk index of lung nodules in LDCT. Marcelo Oliveira Universidade Federal de Alagoas (UFAL) NLST Jun 29, 2020 NLST-685
Genderd differences in stage and radiotherapy Cristina Sarasqueta Instituto Biodonostia PLCO Jun 26, 2020 PLCO-640
Varying preferences for predictive information among patients at risk for lung cancer Gary Weissman University of Pennsylvania Perelman School of Medicine NLST Jun 26, 2020 NLST-682
Development and evaluation of deep-learning algorithm for the classification of lung nodules detected on CT-Scan Cecile Dupont MD Start NLST Jun 26, 2020 NLST-683
Deep learning mortality prediction in NLST data Joseph Jacob University College London NLST Jun 26, 2020 NLST-681
Applications of Deep Learning for the Automatic or Semi-automatic Detection of Lung Abnormalities Suryadipto Sarkar Arizona State University NLST Jun 22, 2020 NLST-679
Comparison of radiologist recommended follow-up with procedures received by study participants following screening with LDCT Nana Boame Brown University NLST Jun 22, 2020 NLST-680
Evaluating six-step parsimonious quadratic logistic regression for risk prediction Stuart Baker National Cancer Institute PLCO Jun 18, 2020 PLCO-637
Verifying Explanatory Methods Thomas Lukasiewicz University of Oxford PLCO Jun 18, 2020 PLCO-638
Deep learning-based prediction of colorectal tumor features and clinical characteristics based on histology images Ulrike Peters Fred Hutchinson Cancer Research Center PLCO Jun 18, 2020 PLCOI-634
AI algorithms for Chest Xray screening Renga Bashyam Biocliq Technologies PLCO Jun 18, 2020 PLCOI-639
AI-based scoring system for prostate cancer Okyaz Eminaga Stanford University School of Medicine PLCO Jun 18, 2020 PLCOI-635
Deep Learning to detect Chronic Obstructive Pulmonary Disease Surya Bhatt University of Alabama at Birmingham NLST Jun 18, 2020 NLST-678