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Approved Projects

Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.

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1401-1420 of 2638
Name Principal Investigator Institution Study Date Approved Project ID
Integration of Preprocessing Methods and Deep Learning Models for Predicting Cancer Improvement or Deterioration Using Longitudinal Data Pilar Pazos-Lago Old Dominion University PLCO Aug 28, 2024 PLCO-1654
Integration of quantitative CT image-based features and clinical factors to develop more accurate nodule-specific lung cancer risk models and classifiers Roshni Bhagalia General Electric Global Research Center NLST Jan 13, 2014 NLST-48
Integrative analysis to predict lung cancer patient outcome using NLST dataset Guanghua Xiao UT Southwestern Medical Center NLST Sep 5, 2019 NLST-562
Integrative analysis to predict lung nodule classification Zhe Li Singlera Genomics Inc. NLST Dec 16, 2019 NLST-621
Integrative Methodological Approaches in Prediction of Survival Probabilities With Longitudinal Covariates, Using Bayesian Techniques Krupa Jinsa Jigy CHRIST (Deemed to be University) PLCO Aug 15, 2024 PLCO-1646
Intelligent Lung Cancer Diagnostic Aid System: a RADIOMICS approach applied to histology Lucas Lima Federal University of Alagoas NLST Dec 27, 2016 NLST-268
Intelligent personable treatment recommendation Xiaoshui Huang The University of Sydney NLST Oct 10, 2019 NLST-584
Intelligent System based on Artificial Neural Networks to prostate cancer diagnosis Carlos Eduardo Ocrospoma Sarasi UNMSM PLCO Dec 2, 2016 PLCO-242
Interaction between Race and Micronutrients on Colorectal Cancer Incidence and Mortality Fahad Mukhtar University of South Florida PLCO Feb 22, 2018 PLCO-343
Interaction of Calcium Intake and Obesity on Pancreatic Cancer in the PLCO Trial Margaret Hoyt Indiana University PLCO Oct 4, 2018 PLCO-404
Interaction of family history, physical activity and environmental factors in the risk for the development of prostate cancer Omar Abdel-Rahman Avicenna Oncology Center PLCO Sep 25, 2018 PLCO-398
Interpretability of machine learning based prediction models for ovarian cancer classification using PLCO dataset Khyati Shah Liverpool John Moores University, UK PLCO May 20, 2020 PLCO-628
Interpretable AI prediction of prostate tumor staging Matthias Weidemüller Universität Heidelberg PLCO Jan 18, 2022 PLCO-897
Interpretable AI prediction of prostate tumor staging Björn Ommer Ludwig Maximilian University of Munich (Machine Vision & Learning Group) PLCO Apr 25, 2022 PLCOI-970
Interpretable Artificial Intelligence to select patients that will benefit from lung cancer screening Jean-Emmanuel Bibault Stanford University PLCO Mar 5, 2020 PLCO-594
Interpretable Deep Learning for Early Detection of Lung Disease Using the PLCO Dataset: Integrating Image Features with Large Language Models Erica Rutter University of California Merced PLCO Sep 9, 2025 PLCOI-1943
Interpretable Graph Convolutional Networks with CPC features for Whole Slide Histology Classification Faisal Mahmood Brigham and Women's Hospital NLST Oct 29, 2019 NLST-592
Interpretable machine learning models for lung cancer screening Cynthia Rudin Duke NLST Aug 2, 2017 NLST-332
Interrelationship between Sexually Transmitted Infections, Genetic Variation in MSR1 and Other Inflammation Genes, and Prostate Cancer (CGEMS Value-Added Study) Wen-Yi Huang NCI, DCEG, OEEB PLCO Oct 15, 2007 2007-0045
Intrafamilial Concordance of Age of Clinical Manifestations of Prostate Cancer Peter Tishler Channing Laboratory PLCO Jul 1, 2006 2006-0251