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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
Evaluation of a deep-learning algorithm to assist in the detection of features suggestive of lung cancer on chest x-rays. Gaetan Dissez behold.ai NLST Jun 14, 2021 NLST-799
Development of diagnostic support software to aid clinical decision-making for lung disease Michael Calhoun Precision Medical Ventures, Inc. NLST Jun 14, 2021 NLST-800
Prospective study of DNA repair functional assays and risk of lung cancer Zvi Livneh Weizmann Institute of Science PLCO Jun 14, 2021 2021-0018
Characterizing clonal expansion of large mosaic chromosomal alterations in leukocytes Mitchell Machiela National Cancer Institute PLCO Jun 14, 2021 2021-0014
Using circulating metabolomes to understand pancreatic cancer genotype and phenotype and to explore their potential for risk assessment and early detection Herbert Yu University of Hawaii Cancer Center PLCO Jun 14, 2021 2021-0013
Temporal Lifestyle Patterns Linked with Health Indicators Heather Eicher-Miller Purdue University IDATA May 27, 2021 IDATA-44
The impact of pregnancy history on genome-wide methylation patterns in women with and without multiple sclerosis Vilija Jokubaitis Monash University PLCO May 21, 2021 PLCO-789
Self-Supervised Multimodal Medical Image Analysis Cristian Simionescu Alexandru Ioan Cuza University NLST May 21, 2021 NLST-796
PLCO: Effects of high-dimensional genetic variation (GWAS) on PSA trajectories and their relationship with prostate cancer incidence Grace Hong NCI PLCO May 18, 2021 PLCO-787
Opioid Cohort Consortium (OPICO) to investigate the effects of opioid use on cancer incidence and mortality Mahdi Sheikh Internatioanl Agency for Research on Cancer (IARC - WHO) PLCO May 11, 2021 PLCO-784
AI system to infer a patient’s prostate cancer stage from clinical information trained on synthetic electronic health records Ali Kamen Siemens Healthineers PLCO May 11, 2021 PLCO-786
Identifying histological features of lung cancer using deep learning Jennifer Beane Trustees of Boston University NLST May 11, 2021 NLST-794
Validation of pre-trained deep learning algorithms on NLST data. Ammar Jagirdar Qure.ai NLST May 7, 2021 NLST-793
Decisions to perform invasive diagnostic procedures follow a probability curve based upon the risk of cancer: insights from lung, ovarian and prostate cancer from the PLCO dataset Fabien Maldonado Vanderbilt University Medical Center PLCO May 7, 2021 PLCO-778
Associations of inflammatory and insulinemic dietary patterns and risk of colorectal adenomas in men and women: Findings from the PLCO cohort Fred Tabung The Ohio State University PLCO May 7, 2021 PLCO-780
Joint modeling of longitudinal data and survival data in hidden markov model setting hong li medical university of south carolina PLCO May 7, 2021 PLCO-782
Statistical methods issues for biomarker studies in cancer screening trials Ping Hu NCI PLCO Apr 30, 2021 PLCO-779
Optimizing lung cancer treatments from public clinical trial data Shimon Sheiba Causalis.ai NLST Apr 22, 2021 NLST-729
Efficient machine learning algorithms for investigating and comparing the risk factors of breast and prostate cancers among males and females Samaneh Rikhtehgaran Florida Atlantic University PLCO Apr 21, 2021 PLCO-777
Image Synthesis for Data Augmentation in Medical CT using Deep Learning Klaus Mueller Stony Brook University NLST Apr 21, 2021 NLST-787