Approved Projects
Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Machine Learning Analysis for Lung Cancer Progression | Anderson Nnewihe | Johnson & Johnson Enterprise Innovation, Inc. | NLST | Oct 18, 2022 | NLST-973 |
| Machine-Learning and classic statistic models for predicting cancers risk and clinical outcomes | Yougen Wu | The Fifth People's Hospital of Shanghai, Fudan University | PLCO | Nov 3, 2021 | PLCO-852 |
| Machine Learning Application of Cancer Data Analysis | Mochen Li | Purdue University | PLCO | Nov 13, 2019 | PLCO-552 |
| Machine Learning Applications in Colorectal Cancer Data Analysis: A Comprehensive Investigation | Richa Sharma | Arkus AI | PLCO | Oct 31, 2023 | PLCO-1373 |
| Machine learning-based approaches for risk calculation | Alex Bui | UCLA | PLCO | Oct 11, 2016 | PLCO-235 |
| Machine learning based Computer Aided Diagnosis system for Chest X-Ray images | Agnese Marchesi | Istituto Italiano di Tecnologia (IIT) | PLCO | Jun 19, 2018 | PLCO-371 |
| Machine learning based lung cancer identification and characterization | Richard Vlasimsky | IMIDEX | NLST | Apr 5, 2019 | NLST-495 |
| Machine learning based lung cancer identification and characterization | Richard Vlasimsky | IMIDEX | PLCO | Aug 7, 2019 | PLCOI-503 |
| Machine Learning based lung nodule detection and malignancy prediction from low dose computed tomography (LDCT) images | Tina Kapur | Brigham and Women's Hospital | NLST | Apr 26, 2018 | NLST-408 |
| Machine-learning-based recurrence prediction in lung cancer | Pawel Badura | Silesian University of Technology | NLST | May 23, 2022 | NLST-916 |
| Machine Learning Classification of Nodules | Michal Lada | University of Rochester | NLST | Feb 19, 2019 | NLST-484 |
| Machine Learning for Breast Cancer Risk Prediction | Sigrid Sandström | Stockholm University | PLCO | Feb 16, 2022 | PLCO-910 |
| Machine learning for classification of thyroid cancer | Norah Alghamdi | PNU | PLCO | Apr 18, 2018 | PLCO-363 |
| Machine Learning for Colorectal Cancer Risk Prediction | Ling Zheng | Monmouth University | PLCO | Nov 17, 2020 | PLCO-687 |
| Machine Learning for Event Detection in Medical Images | Derek Merck | Rhode Island Hospital | NLST | Jul 30, 2015 | NLST-147 |
| Machine Learning for Lung Nodule Detection and Diagnosis Classification | Mehmet Kaya | Florida Institute of Technology | NLST | Mar 30, 2021 | NLST-777 |
| Machine Learning Methods for Nodule Detection and Classification | Xiaohui Xie | University of California, Irvine | NLST | May 11, 2017 | NLST-304 |
| Machine learning models' efficiency comparison on male breast cancer detection | Juntao Li | Cannon School Upper school | PLCO | Jul 23, 2021 | PLCO-814 |
| Machine Learning Models for Image-Based Diagnosis and Prognosis of Cancer | Yang Zhao | Nanjing Medical University | PLCO | Sep 28, 2022 | PLCOI-1058 |
| Machine Learning Model to Predict Colorectal Cancer | Bence Lukacsy | Barrington High School | PLCO | Nov 9, 2022 | PLCO-1097 |