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Approved Projects

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

Filter results of approved projects table below

Approved Projects
Name Principal Investigator Institution Study Date Approved Project ID
Detection and prediction analysis of lung cancer based on deep learning with low-dose CT Seyoun Park Johns Hopkins University NLST Sep 26, 2017 NLST-356
Detection and Prevention of Cyber Attacks Aimed at Medical Imaging Devices Tom Mahler Ben Gurion University of the Negev NLST Jun 6, 2018 NLST-418
Detection and prognosis of lung cancer with deep learning Daniel Truhn RWTH Aachen University NLST Apr 16, 2019 NLST-500
Detection of frameshift mutations in microsatellite instable colorectal cancer in the PLCO Cancer Screening Trial Robert Shoemaker National Cancer Institute PLCO Jun 12, 2023 2023-0063
Detection of lung disease using deep learning Himanshu Joshi Drongo AI pvt LTD PLCO Nov 15, 2024 PLCOI-1747
Detection of prostate cancer using machine learning techniques: An exploratory study Laxmi Manasa Gorugantu Dakota State University PLCO Dec 13, 2021 PLCO-873
Detection of pulmonary nodules and reduction of the false positive rate Hsin-Ming Chen National Taiwan University Hospital NLST May 7, 2018 NLST-411
Detection/Segmentation of lung cancer and more with deep learning Andy Song Medipixel NLST Nov 17, 2017 NLST-376
Determinants of Menopausal Hormone Therapy Use in Women in the PLCO Study Bruce Kessel Pacific Health Research Institute (Hawaii) PLCO May 26, 2009 2009-0062
Determination of the association between BDNF, a potential biomarker, and depression in patients with cancer Lei Zhang Uniformed Services University PLCO Aug 22, 2022 PLCO-1021
Determining the prevalence and misclassification of perifissural nodules in the NLST. Anton Schreuder Radboudumc NLST Mar 22, 2017 NLST-296
Devel Yuri Ahuja Oatmeal Health NLST Mar 18, 2025 NLST-1407
Develop a ChatGPT-style system for CT scan analysis Neet Patel University of California San Diego NLST May 30, 2023 NLST-1073
Develop a Definitive Work-Up for Positive Lung Screening Exam William Hocking Marshfield Clinic PLCO Jul 1, 2006 2006-0139
Develop a Markovian-based natural history model for ovarian cancer progression Andrew Schaefer Rice University PLCO Jan 28, 2021 PLCO-729
Develop an end-to-end LLM-powered application tailored for precise care of cancer patients with advance features Ananya Singh Indian Institute of Technology PLCO Jun 7, 2024 PLCO-1586
Develop generative AI models to enhance lung image processing for improved downstream clinical analysis kibrom girum Institut Curie NLST Dec 4, 2023 NLST-1164
Developing a breast cancer risk model for methodologic research on improving external validity of risk models Hormuzd Katki NCI PLCO Apr 8, 2022 PLCO-964
Developing a classifier of smoking history from chest x-ray images Hormuzd Katki NCI/DCEG PLCO Aug 20, 2019 PLCOI-514
Developing a general AI decision support framework for early diagnosis and treatment of variety of cancers Chuan Zhou University of Michigan PLCO Jul 6, 2021 PLCOI-791