| Alcohol Intake and Prostate Cancer Mortality |
Yan Ding |
City of Hope |
PLCO |
May 2, 2013 |
PLCO-30 |
| Alcohol intake and risk of cancer and overall and cause-specific mortality |
Sonja Berndt |
National Cancer Institute |
PLCO |
Jun 12, 2015 |
PLCO-143 |
| Alcohol intake and the risk of colorectal adenomas and colorectal cancer in the PLCO Cancer Screening Trial |
Kathryn Barry |
University of Maryland, Baltimore |
PLCO |
Sep 5, 2017 |
PLCO-304 |
| Alcohol intake and the risk of colorectal adenomas and colorectal cancer in the PLCO (NCI Version) |
Erikka Loftfield |
(240)762-3319 |
PLCO |
Feb 27, 2024 |
PLCO-1489 |
| Alcohol intake, genes responsible for alcohol metabolism, and risk of breast cancer in the PLCO cohort |
Catherine McCarty |
Marshfield Clinic Research Foundation |
PLCO |
Apr 21, 2006 |
2005-0027 |
| Algorithm development on lung medical image |
Jingya Liu |
City College of New York, City University of New York |
NLST |
Apr 17, 2018 |
NLST-401 |
| A longitudinal investigation of immunologic and obesity-related biomarkers in multiple myeloma development and progression |
Jonathan Hofmann |
NCI |
PLCO |
Sep 20, 2019 |
2018-1019 |
| Alpha-methylacyl-CoA Racemase: A Potential Common Gene for the Risk of Colorectal Cancer and/or Prostate Cancer |
Sarah Daughterty |
NCI, DCEG, OEEB |
PLCO |
Jul 1, 2006 |
2006-0069 |
| A Lung Cancer Risk Prediction Model Through bio-Medical Data Using Rule Extraction and CT image abnormality detection |
Jerry Liu |
Prairie View A&M University |
NLST |
Feb 5, 2021 |
NLST-756 |
| A Machine Learning Approach for Localizing Cancerous Nodules |
Zachary Hendlin |
M.I.T. |
NLST |
Oct 17, 2013 |
NLST-39 |
| A machine learning approach for lung nodule classification. |
Alexander Kagen |
Mount Sinai Hospital System |
NLST |
Sep 2, 2016 |
NLST-239 |
| A Machine Learning Approach to Bladder Cancer Screening and Cancer Grade/Stage Differentiation |
Herbert Chase |
The Trustees of Columbia University in the City of New York |
PLCO |
Mar 16, 2020 |
PLCO-597 |
| A Machine Learning Approach to Diagnosing Breast Cancer |
Michele La Ferla |
University of Malta |
PLCO |
Feb 19, 2020 |
PLCOI-585 |
| A Machine Learning Approach to Image Quality |
Andrew Brown |
MIT |
NLST |
May 14, 2015 |
NLST-139 |
| A Machine Learning Model to Identify Patients at Risk for Developing Lung Cancer |
Janakiraman Subramanian |
Inova Health System |
PLCO |
Feb 8, 2023 |
PLCO-1154 |
| Ambient ultraviolet radiation and serum metabolites in the Prostate, Lung, Colorectal, and Ovarian Cancer Trial |
Zhi-Ming Mai |
Division of Cancer Epidemiology and Genetics, National Cancer Institute |
PLCO |
Oct 15, 2021 |
PLCO-840 |
| A Mendelian Randomization study of alcohol intake and health effects in the PLCO study |
Yingxi Chen |
National Cancer Institute |
PLCO |
Nov 16, 2023 |
PLCO-1392 |
| A Mendelian randomization study of diabetes mellitus and prostate cancer risk |
Brandon Pierce |
University of Chicago |
PLCO |
Jan 21, 2010 |
2009-0094 |
| A metabolomic analysis of multiple myeloma development and progression |
Jonathan Hofmann |
National Cancer Institute |
PLCO |
May 23, 2017 |
2016-0009 |
| Analyses of NLST data to validate Bach lung risk model and understand natural history of lung cancer to project maximal benefit |
Peter Bach |
Memorial Sloan-Kettering Cancer Center |
NLST |
Sep 12, 2013 |
NLST-36 |
