Anti-Mullerian Hormone and Prostate Cancer Risk |
Martha Sklavos |
NCI, DCEG, IIB |
PLCO |
Mar 4, 2013 |
2013-0008 |
An update of the clinical and cost-effectiveness of lung cancer screening by low-dose CT |
Chris Hyde |
University of Exeter |
NLST |
Jun 5, 2019 |
NLST-519 |
A Patient Home Lung Disease Self Check System Using Datasets and Artificial Intelligence |
Bao Yuanjin |
Hangzhou University of Electronic Science and Technology |
NLST |
Jul 8, 2024 |
NLST-1281 |
APC Polymorphic Variants in Colon Tumors in the PLCO Trial |
Ellen Velie |
Michigan State University |
PLCO |
Jul 1, 2006 |
2006-0254 |
A Phase II extension of the use of cg05575921 Methylation to predict risk for lung cancer |
Robert Philibert |
Behavioral Diagnostics |
PLCO |
Aug 1, 2022 |
2022-0014 |
Application and Analysis of Mathematical tools in biological model |
Priya Dubey |
Amity University |
PLCO |
Mar 2, 2022 |
PLCO-934 |
Application and evaluation of Deep Learning to Predict tumors in medical images annotated using crowdsourcing |
Aakanksha Sanctis |
Maastricht University,Intitute of Data Science |
NLST |
Oct 15, 2019 |
NLST-587 |
Application for accessing NLST pathology images to validate the proposed prognostic modeling method |
Pei Liu |
UESTC |
NLST |
May 21, 2021 |
NLST-795 |
Application for accessing NLST pathology images to validate the proposed prognostic modeling method |
Road Zhang |
Southwest Petroleum University |
NLST |
Feb 16, 2022 |
NLST-887 |
Application of deep learning to automate detection of lung nodules on single and serial chest radiographs |
Kartik Varadarajan |
Visionairy Health Inc. |
PLCO |
Mar 15, 2021 |
PLCOI-748 |
Application of Deep Learning to Combine Clinical and Imaging Data to Localize, Characterize, and Prognosticate Lung Cancer Patients |
Jae Ho Sohn |
UCSF |
NLST |
Apr 4, 2017 |
NLST-297 |
Application of Machine Learning Algorithms for Predicting the Outcome of Therapeutic Intervention of Colorectal Cancer Patients In Palestine with a Global Comparison |
Amal Shaikhah |
Alexandria University - Medical Research Institute |
PLCO |
Aug 22, 2023 |
PLCO-1303 |
Application of machining learning in lung cancer prediction with the NLST and PLCO data |
Liang Ge |
Diannai (Shanghai) Biotech Co., Ltd. |
NLST |
Dec 27, 2016 |
NLST-269 |
Application of machining learning in lung cancer prediction with the NLST and PLCO data |
Liang Ge |
Diannai (Shanghai) Biotech Co., Ltd. |
PLCO |
Dec 27, 2016 |
PLCO-250 |
Application of NLST-calibrated Microsimulation Model |
Chung Yin Kong |
Massachusetts General Hospital |
NLST |
Jan 16, 2014 |
NLST-50 |
Application of Predictive Modelling Using Machine Learning Techniques to Predict Survival in Oncology |
Shanti Neff-Baro |
Amaris Consulting |
NLST |
Jul 18, 2023 |
NLST-1096 |
Applications of Deep Learning for the Automatic or Semi-automatic Detection of Lung Abnormalities |
Suryadipto Sarkar |
Arizona State University |
NLST |
Jun 22, 2020 |
NLST-679 |
Applying deep learning image segmentation to improve coronary artery calcium scoring for cardiovascular outcome prediction |
Sanjay Aneja |
Yale School of Medicine |
NLST |
Apr 25, 2022 |
NLST-911 |
Applying deep learning models to predict nodal metastasis from pathology imaging |
Sanjay Aneja |
Yale School of Medicine |
NLST |
Dec 11, 2023 |
NLST-1170 |
Applying econometric methods to examine heterogeneity in the impact of lung cancer screening |
Amanda Kowalski |
National Bureau of Economic Research |
NLST |
Jul 9, 2019 |
NLST-536 |