| A novel class prediction algorithm for the analysis of nodules in NLST |
Emmanuel Zachariah |
UMDNJ-Robert Wood Johnson Medical School |
NLST |
Jun 25, 2013 |
NLST-24 |
| A novel CNN-based Computer-Aided Detection system for Lung Cancer |
Baocai Yin |
University of Science and Technology of China |
NLST |
Jul 7, 2016 |
NLST-227 |
| A Novel Model for Performance Optimization of Reinforcement Learning (RL) Agent in Stochastic Clinical Scenarios |
Madeha Arif |
National University of Sciences and Technology, Islamabad Pakistan |
PLCO |
Sep 27, 2021 |
PLCO-837 |
| Anthocyanin and endometrial cancer risk: a prospective study in the Prostate, Lung, Colorectal and Ovarian (PLCO) cohort |
Huijun Huang |
Wenzhou medical university |
PLCO |
Apr 2, 2024 |
PLCO-1525 |
| Anthocyanin and ovarian cancer risk: a prospective study in the Prostate, Lung, Colorectal and Ovarian (PLCO) cohort |
Huijun Huang |
Wenzhou medical university |
PLCO |
Mar 25, 2024 |
PLCO-1506 |
| Anti-inflammatory, Urological, and Reproductive Factors Associated with Risk of Bladder Cancer |
Sarah Daughterty |
NCI, DCEG, OEEB |
PLCO |
Dec 12, 2006 |
2006-0316 |
| 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 Dynamic Prediction Models in Lung Cancer Screening: Multi-timepoint Analysis Based on NLST Landmark RCT Dataset and External Validation in Chinese Population |
ShengLin Zhao |
Chongqing University Cancer Hospital |
NLST |
Aug 28, 2024 |
NLST-1311 |
| 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 |
