| 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 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 |
| Applying econometric methods to examine heterogeneity in the impact of screening |
Amanda Kowalski |
National Bureau of Economic Research |
PLCO |
May 1, 2019 |
PLCO-476 |
| Applying LungRads to NLST |
Paul Pinsky |
NCI |
NLST |
Jun 24, 2014 |
NLST-79 |
| Applying Machine Learning on available datasets to derive knowledge |
Shalini Madhan |
st josephs college of engineering |
PLCO |
Nov 17, 2020 |
PLCO-690 |
| Applying Machine Learning To Assess Dietary Patterns |
Weslie Khoo |
Indiana University |
IDATA |
Apr 11, 2024 |
IDATA-72 |
| Applying Micro-simulation Model of Ovarian Cancer Screening to PLCO Data |
Nicole Urban |
Fred Hutchinson Cancer Research Cancer |
PLCO |
Jul 1, 2006 |
2006-0253 |
| Apply new statistical methods to assess screening efficacy in NLST trial addressing overdiagnosis |
ying huang |
Fred Hutchinson Cancer Research Center |
NLST |
Mar 7, 2022 |
NLST-891 |
| Apply new statistical methods to assess screening efficacy in PLCO trial addressing overdiagnosis |
Ying Huang |
Fred Hutchinson Cancer Research Center |
PLCO |
Mar 7, 2022 |
PLCO-935 |
| A Predictive Multi-Marker Test to Improve Ovarian Cancer Diagnosis |
Andrew Stephens |
Cleo Diagnostics Ltd |
PLCO |
Jun 12, 2025 |
2025-0036 |
| A Proposal to Study the Willingness of African American Women to Join Clinical Trials |
Jeanette Trauth |
University of Pittsburgh |
PLCO |
Jul 1, 2006 |
2006-0252 |
| A Prospective Investigation of Microbial Metabolites and Colorectal Cancer |
Erikka Loftfield |
National Cancer Instiute |
PLCO |
Dec 21, 2018 |
2018-1017 |
| A prospective investigation of the relationship between use of non-steroidal anti-inflammatory drugs (NSAIDs) and risk of head and neck cancers (HNC) and malignant melanomas (MM) |
Amanda Black |
NCI, DCEG, EBP |
PLCO |
Jul 23, 2009 |
2009-0035 |
