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
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| AI-based prognosis and therapy response prediction from pathology images | Iurii Tolkach | Institute of Pathology, University Hospital Cologne | PLCO | Jan 9, 2024 | PLCOI-1441 |
| AI-based scoring system for prostate cancer | Okyaz Eminaga | Stanford University School of Medicine | PLCO | Jun 18, 2020 | PLCOI-635 |
| AI-based tools to support decision-making in lung cancer screening | Johanna Topalis | Department of Radiology, University Hospital, LMU Munich | NLST | Mar 28, 2023 | NLST-1034 |
| AI cancer detection project | TAEHEE KIM | Radisen Co.Ltd. | PLCO | Aug 22, 2022 | PLCOI-1022 |
| AI-Driven Analyses of Morphological and Phenotypic Profiles Across Cancers | JUNHAN ZHAO | The University of Chicago | PLCO | Sep 22, 2025 | PLCOI-1985 |
| AI-driven Analysis of Risk Factors in Lung Cancer Development | Antonio Jesus Diaz Honrubia | Universidad Politécnica de Madrid | PLCO | Jun 17, 2024 | PLCO-1593 |
| AI Driven Imaging Biomarkers | Talha Qaiser | AstraZeneca | NLST | Jun 19, 2019 | NLST-528 |
| AI-Driven Non-Invasive Biomarker Prediction for Lung Cancer Using Self-Supervised Learning on Large-Scale CT Imaging Data | Tianyu Han | University of Pennsylvania | NLST | Mar 25, 2025 | NLST-1409 |
| AI-Driven Radiomic Models for Predicting Lung Cancer Risk and Disease Progression in Asbestos and Silica-Exposed Individuals: A Deep Learning Approach Integrating Clinical and Imaging Data | Ziba Gandomkar | University of Sydney | NLST | Sep 5, 2024 | NLST-1319 |
| AI-Driven Web-Based Tool for Lung Cancer Classification and Treatment Recommendation | Manita Tamang | Southampton Solent University | NLST | Mar 12, 2025 | NLST-1403 |
| AI Empowered CT guided Robot Assisted Needle Targeting | SIANG LEONG | NDR MEDICAL TECHNOLOGY PRIVATE LIMITED | NLST | Jun 21, 2022 | NLST-923 |
| AI-Enabled Prediction of Future Lung Cancer Risk from Chest X-Ray Imaging for Personalized Lung Cancer Screening Management | Jiantao Pu | University of Pittsburgh | PLCO | Dec 2, 2025 | PLCOI-2000 |
| AI enabled Prostate cancer detection using radiomics based features | Mangayarkarasi R | Vellore Institute of Technology - Vellore | PLCO | Jan 13, 2025 | PLCOI-1782 |
| AI-Enhanced Exploration of Lung Cancer Risk Factors | Antonio Jesus Diaz Honrubia | Universidad Politécnica de Madrid | NLST | Jun 17, 2024 | NLST-1273 |
| AI-Enhanced Lung Cancer Risk Prediction and Nodule Detection | Mohammad Monir Uddin | North South University | NLST | Jun 17, 2024 | NLST-1270 |
| AI Enhanced Triage in Lung Cancer Screening | Gerardo Hermosillo Valadez | Siemens Medical Solutions USA | NLST | Sep 5, 2024 | NLST-1314 |
| AI for Lung Nodule Characterization | Hugo Aerts | Harvard-DFCI | NLST | Apr 26, 2016 | NLST-208 |
| AI Information Design in Radiological Decision Making | Pranav Rajpurkar | Harvard Medical School | NLST | Jun 22, 2022 | NLST-926 |
| AI/ML based risk analysis for early cancer detection and prevention for high-risk, understudied, and/or underserved cancer populations. | Amalendu Ranjan | UNT Health Science Center | PLCO | Apr 18, 2024 | PLCO-1529 |
| AI Model for Predicting Outcomes in Incidences of Colorectal Cancer. | Siofra Murdoch | Harvard University | PLCO | Feb 8, 2023 | PLCO-1161 |