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 |
|---|---|---|---|---|---|
| Using deep learning models to infer spatial transcriptomics from H&E slides | Eytan Ruppin | Cancer Data Science Laboratory, NCI | NLST | Nov 5, 2024 | NLST-1353 |
| Comparing the accuracy of machine learning diagnosis of lung cancer from different data modalities | Polina Golland | Massachusetts Institute of Technology | NLST | Nov 5, 2024 | NLST-1349 |
| Radiomics-Driven Predictive Lung Cancer Models | Patrice Essien | George Washington University | NLST | Nov 5, 2024 | NLST-1347 |
| Surrogate endpoints for cancer screening trials | Adam Brentnall | Queen Mary University of London | NLST | Nov 5, 2024 | NLST-1345 |
| Quantification of Interstitial Lung Abnormalities Using Data from the National Lung Screening Trial | Hyungjin Kim | Seoul National University Hospital | NLST | Nov 5, 2024 | NLST-1350 |
| Surrogate endpoints for cancer screening trials | Adam Brentnall | Queen Mary University of London | LSS | Nov 5, 2024 | LSS-9 |
| Prostate Cancer Screening using Machine Learning | Jerry John Rawlings Mensah | Virginia Commonwealth University | PLCO | Nov 5, 2024 | PLCO-1732 |
| Science Fair | Caspar McNulty | Swanson Middle School | PLCO | Nov 5, 2024 | PLCO-1725 |
| Development of Models for Predicting Clinical Outcomes from H&E Stained Whole Slide Images | Zoltan Szallasi | Boston Children's Hospital | PLCO | Nov 5, 2024 | PLCOI-1720 |
| The growing incidence of of colorectal cancer among those under 55 years age in The United States | Harrinique Deveaux | Florida State University | PLCO | Nov 5, 2024 | PLCO-1727 |
| Surrogate endpoints for cancer screening trials | Adam Brentnall | Queen Mary University of London | PLCO | Nov 5, 2024 | PLCO-1719 |
| Framework for quantifying the effects of screening interventions using intermediate trial outcomes | Vichithranie Madurasinghe | University of Warwick | NLST | Oct 21, 2024 | NLST-1344 |
| Automatic Gleason Grading to Predict Survival | Anne Martel | Sunnybrook Research Institute | PLCO | Oct 21, 2024 | PLCOI-1716 |
| Semi or Unsupervised Human Activity Recognition Using Deep Learning | Jiwon Lee | University of Cincinnati | IDATA | Oct 18, 2024 | IDATA-85 |
| Impact of dietary assessment methods on reports of dietary supplement product use and nutrient intakes among adults in the Interactive Diet and Activity Tracking in AARP (IDATA) study | Regan Bailey | Texas A&M, AgriLife | IDATA | Oct 18, 2024 | IDATA-83 |
| An explainable liver disease screening-based machine learning model | Angélica Atehortúa | ISGlobal Barcelona Institute for Global Health | PLCO | Oct 17, 2024 | PLCO-1712 |
| AI-based Pan-Cancer Survival Outcome Prediction and Biomarker Discovery | Jana Lipkova | University of California, Irvine | PLCO | Oct 17, 2024 | PLCOI-1715 |
| Incorporating blood biomarker with self reported exercise in PLCO cohort | Ehsan Irajizad | University of Texas MD Anderson Cancer Center | PLCO | Oct 17, 2024 | PLCO-1710 |
| From physiology to pathology | Gabriela Epihova | University of Cambridge | PLCO | Oct 16, 2024 | PLCO-1711 |
| Correlation of clinical information with imaging values gained from chest CTs analyzed with deep learning algorithm | Johannes Hofmanninger | contextflow | NLST | Oct 16, 2024 | NLST-1339 |