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 |
|---|---|---|---|---|---|
| Building integrative multi-modal and interpretable AI systems for personalized lung cancer therapy | Ruijiang Li | Stanford University | NLST | Feb 16, 2022 | NLST-884 |
| Optimization of lung cancer screening interval by deep learning-based risk prediction | Adam Alessio | Michigan State University | NLST | Feb 16, 2022 | NLST-883 |
| Personalised lung cancer treatment through outcome predictions and patient stratification | Charles-Antoine Collins Fekete | University College London | NLST | Feb 16, 2022 | NLST-881 |
| An evaluation of the association between aspirin and NSAID use and changes in body mass index on gastrointestinal cancer incidence and mortality | Holli Loomans-Kropp | The Ohio State University | PLCO | Feb 15, 2022 | PLCO-907 |
| The Lung EArly Proteins (LEAP) Project | Hilary Robbins | International Agency for Research on Cancer | PLCO | Feb 3, 2022 | 2021-1022 |
| Progression prediction of lung cancer using deep learning model | Sunghoon Kwon | Seoul National University | NLST | Feb 2, 2022 | NLST-879 |
| Competing risks analysis of multiple cancers with application to vitamin D in PLCO | Yei Eun Shin | Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute | PLCO | Feb 2, 2022 | PLCO-904 |
| Development of a ML algorithm to predict ovarian cancer risk | Nicolas Martelin | Prostperia SAS | PLCO | Jan 27, 2022 | PLCO-903 |
| Lung Cancer Patient's survival analysis | Sreekanth Settur | Swiss School of Business and Management | PLCO | Jan 27, 2022 | PLCO-902 |
| Assessing the Generalizability of Findings from the NLST | Louise Henderson | University of North Carolina at Chapel Hill | NLST | Jan 26, 2022 | NLST-876 |
| Development and validation of a neural network to detect and describe lung nodules | Alexandre Compas | Gleamer SAS | NLST | Jan 26, 2022 | NLST-878 |
| Lung Abnormality Detection using Deep learning | Harshil Soni | System Level Solutions India Ptv.Ltd. | NLST | Jan 26, 2022 | NLST-875 |
| Fully automated end to end analysis of non-small-cell lung carcinoma using deep learning techniques | Eranga Ukwatta | University of Guelph | NLST | Jan 26, 2022 | NLST-871 |
| Unsupervised analysis of thorax CT datasets | Marian Himstedt | University of Luebeck | NLST | Jan 18, 2022 | NLST-870 |
| Federated Validation of Lung Nodule Detection Algorithms. | Brian Ayers | Gesund AI | NLST | Jan 18, 2022 | NLST-869 |
| BMI and the risk of renal cell carcinoma : a case control study | Benjamin Chung | Stanford University | PLCO | Jan 18, 2022 | PLCO-896 |
| Radiomic analysis of Chest radiographs for prediction of lung cancer outcomes | Anant Madabhushi | Emory University | PLCO | Jan 18, 2022 | PLCOI-887 |
| Interpretable AI prediction of prostate tumor staging | Matthias Weidemüller | Universität Heidelberg | PLCO | Jan 18, 2022 | PLCO-897 |
| Pulmonary Adenocarcinoma of Low Malignant Potential | Eric Burks | Boston University School Of Medicine | NLST | Jan 7, 2022 | NLST-867 |
| Threshold quantile regression models with applications to PSA data | Eun Ryung Lee | Sungkyunkwan University | PLCO | Jan 7, 2022 | PLCO-893 |