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Approved Projects

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

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1321-1340 of 2638
Name Principal Investigator Institution Study Date Approved Project ID
Impact of treatment options on patient outcomes in hard - to - treat cancers: creating a personalized treatment framework using Machine Learning to address disparities in developed v. LMIC nations’ healthcare Georgia Perakis Massachusetts Institute of Technology PLCO Jun 22, 2023 PLCOI-1256
Implementation of Machine Learning Algorithm for Computer-aided Diagnosis of Indeterminate Pulmonary Lesions on Low-dose CT Imaging Jerome Liang Stony Brook Medicine NLST Jul 22, 2024 NLST-1294
Implication of new models for predicting lung cancer screening selection based on CT scan and pathology image data Yuan Luo Northwestern University NLST Dec 31, 2020 NLST-745
Implication of new models for predicting lung cancer screening selection based on CT scan and pathology image data Yuan Luo Northwestern University PLCO Dec 31, 2020 PLCO-710
Implications of Prevalence CT scan Findings on Future Lung Cancer Risk David Wilson University of Pittsburgh NLST May 2, 2012 201205-0012
Implications of Prevalence CT scan Findings on Future Lung Cancer Risk david wilson University of Pittsburgh NLST Dec 10, 2012 NLST-5
Improved lung cancer screening with cognitive computing Shawn Stapleton Philips Research North America NLST Sep 16, 2016 NLST-241
Improved Methods for Comparing Human Radiologists to AI tools Ashesh Rambachan Massachusetts Institute of Technology NLST Nov 12, 2024 NLST-1357
Improved PSA Screening Using Risk Stratification Mark Preston The Brigham and Women's Hospital, Inc. PLCO Sep 14, 2021 PLCO-825
Improve Lung Cancer Prediction by Training Multi-task Self-supervised Pre-training on Large Unlabeled Data Yi Chen ASUS AICS NLST Feb 19, 2020 NLST-637
Improvement of Early Lung Cancer Detection Rate for Patients Undergoing 18F-FDG PET/CT scans Tsung-Ying Ho Chang Gung Memorial Hospital NLST Feb 9, 2017 NLST-284
Improvement of the Accuracy in Detection of pulmonary nodules Wei-Ying Chen International Integrated Systems, Inc NLST Jan 27, 2020 NLST-631
Improving Breast Cancer Risk Prediction Across Ethnicities Kate Im Myome, Inc PLCO Aug 11, 2021 PLCO-818
Improving Clinical Classification of a patient’s lung tumors, NSCLC TNM cancer stage Dolly Wu UT Southwestern Medical Center NLST May 29, 2018 NLST-416
Improving detection of lung cancer using radiomics and blood-based biomarkers Kate Bloch The University of Manchester NLST Sep 6, 2022 NLST-951
Improving diagnosis, treatment approach, and quality-of-life of patients with prostate cancer using A.I. Frank Sullivan Galway Clinic PLCO Oct 29, 2021 PLCO-842
Improving lung cancer risk prediction with artificial intelligence Chiara Paganelli Politecnico di Milano NLST Jun 15, 2023 NLST-1087
Improving Lung Cancer Screening Rates and Smoking Documentation through Targeted Electronic Clinical Decision Support Travis Osterman Vanderbilt University Medical Center NLST Nov 2, 2015 NLST-173
Improving Lung Cancer Screening Rates and Smoking Documentation through Targeted Electronic Clinical Decision Support Travis Osterman Vanderbilt University Medical Center PLCO Nov 3, 2015 PLCO-175
Improving Measurement of Physical Activity and Sedentary Behavior Stephanie Eckman RTI International IDATA Nov 19, 2021 IDATA-50