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 |
---|---|---|---|---|---|
Associations of age at menopause with health outcomes and mortality among females who are moderate and heavy smokers | Shuguang Leng | Regents of the University of New Mexico for its Public Operation Known as the Health Sciences Center | PLCO | May 11, 2022 | PLCO-981 |
An evaluation of SNP frequency, aspirin resistance, and adenoma/colorectal cancer risk in the PLCO study | Holli Loomans-Kropp | The Ohio State University | PLCO | May 9, 2022 | PLCO-978 |
Privacy-preserving generation of synthetic patient data | Marcel Klamárik | Siemens Healthcare s.r.o. | PLCO | May 9, 2022 | PLCO-977 |
A Hybrid Deep Learning and Machine Learning Technique to Predict Ovarian Cancer | Ahmad Ahmad | International Islamic University Chittagong | PLCO | May 9, 2022 | PLCO-976 |
Data Mining Framework for Predicting Ovarian Cancer | Roopashri Shetty | Manipal Institute of Technology | PLCO | May 9, 2022 | PLCO-975 |
BMI, its dietary determinants and lung cancer risk | Yumie Takata | Oregon State University | PLCO | Apr 25, 2022 | PLCO-973 |
Joint modeling of longitudinal data and competing risks survival data with cause and time dependent masking | Vikas Barnwal | Banaras Hindu University | PLCO | Apr 25, 2022 | PLCO-972 |
Interpretable AI prediction of prostate tumor staging | Björn Ommer | Ludwig Maximilian University of Munich (Machine Vision & Learning Group) | PLCO | Apr 25, 2022 | PLCOI-970 |
Annotation-Ecient Medical Image Analysis | Jianming Liang | Arizona State University | PLCO | Apr 25, 2022 | PLCOI-880 |
Deep Active Survival Analysis approach on Prostate Cancer treatment | Satyo Iswara | University of Illinois At Urbana-Champaign | PLCO | Apr 25, 2022 | PLCO-971 |
Cancer Types Comparison and Analysis of them (statistical) | Nikos Letsios | Mediterranean College (Collaboration with University of Derby) | PLCO | Apr 25, 2022 | PLCO-968 |
Applying deep learning image segmentation to improve coronary artery calcium scoring for cardiovascular outcome prediction | Sanjay Aneja | Yale School of Medicine | NLST | Apr 25, 2022 | NLST-911 |
Cancer Types Comparison and Analysis of them (statistical) | Nikos Letsios | Mediterranean College (Collaboration with University of Derby) | NLST | Apr 8, 2022 | NLST-907 |
Evaluating a multi-biomarker panel for the early detection of ovarian cancer | Maxwell Akonde | University of South Carolina | PLCO | Apr 8, 2022 | PLCO-966 |
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 |
Metabolomic Profiles of Insulinemic Dietary Patterns and Colorectal Cancer Risk: A Consortium of Metabolomics Studies (COMETS) Analysis | Fred Tabung | The Ohio State University | PLCO | Apr 5, 2022 | PLCO-959 |
Developing an all-cancer risk model for methodologic research on sampling designs for epidemiologic studies | Hormuzd Katki | NCI | PLCO | Apr 5, 2022 | PLCO-961 |
Calibration of a microsimulation model of lung cancer natural history in Australia | Marianne Weber | Cancer Council New South Wales | NLST | Apr 4, 2022 | NLST-906 |
Development of Deep Learning algortihms for the automated Calcium Scoring identification from radiological studies | Fernando Martin | WellSpan Health | NLST | Apr 4, 2022 | NLST-905 |
GWAS of Metabolites | Erikka Loftfield | Erikka Loftfield Cronin | PLCO | Apr 4, 2022 | PLCO-960 |