| Using the SF-36 to Track Health Status Outcomes Among Participants in the PLCO |
Lance Yokochi |
PHREI |
PLCO |
Jul 1, 2006 |
2006-0270 |
| Using time-series data to predict nodule evolution |
Joseph Jacob |
University College London |
NLST |
Jun 18, 2019 |
NLST-526 |
| Utilization of Deep Learning Architectures for the Automated Detection of Pulmonary tumor and Tuberculosis in Thoracic Radiographic Imaging |
Mutlu Avci |
Çukurova University |
NLST |
Jan 10, 2025 |
NLST-1380 |
| Utilization of deep learning methodology for automated lung nodule detection |
Elliot English |
MetaMind |
NLST |
May 28, 2015 |
NLST-140 |
| Utilization of machine learning to create a predictive model for ovarian cancer based on pelvic ultrasound, CA-125, and clinical characteristics |
Graham Chapman |
Case Western Reserve University |
PLCO |
Oct 18, 2022 |
PLCO-1074 |
| Utilization of neural networks to identify and predict future cancer growth with images |
Wenzhi Zhang |
Detroit Country Day School |
NLST |
Sep 30, 2024 |
NLST-1329 |
| Utilizing high-dimensional data with genome-wide scan data to identify novel genetic susceptibility variants for colorectal cancer |
Ulrike Peters |
Fred Hutchinson Cancer Research Center |
PLCO |
Mar 28, 2013 |
PLCO-23 |
| Utilizing PLCO Prostate Survival Data to predict mortality in chemoprevention studies |
Paul Pinsky |
NCI, DCP, EDRG |
PLCO |
Aug 26, 2010 |
2010-0141 |
| Utilizing sequence and imputed genotype data to identify novel genetic susceptibility variants for colorectal cancer |
Ulrike Peters |
Fred Hutchinson Cancer Center |
PLCO |
Mar 6, 2014 |
PLCO-68 |
| Validate Colon Cancer Model trained on synthetic data against PLCO dataset patient data |
Jeremy Howard |
Lucem Health, Inc. |
PLCO |
May 14, 2024 |
PLCO-1553 |
| Validating an Inference Engine for Data-driven Personalized Diet Goals |
Marissa Burgermaster |
University of Texas at Austin |
IDATA |
Jun 15, 2021 |
IDATA-46 |
| Validating automated algorithms for detection of lung pathology |
Atilla Kiraly |
Google |
NLST |
Nov 13, 2019 |
NLST-559 |
| Validating the performance of Deep Neural Network models for lung nodule detection |
Naglis Ramanauskas |
Oxipit, UAB |
NLST |
Feb 16, 2022 |
NLST-886 |
| Validating the Stability of Chrononutrition Behaviors: Insights from Repeated Dietary Assessments Using ASA24 |
Samaneh Farsijani |
University of Pittsburgh |
IDATA |
Jan 6, 2025 |
IDATA-86 |
| Validation of a multimodal generative model for lung cancer and tuberculosis detection on chest radiograph in screening population |
Amy Hong |
Kakaobrain |
NLST |
Feb 26, 2024 |
NLST-1197 |
| Validation of an extracellular vesicle-based screening assay for detecting early-stage ovarian cancer |
Toumy Guettouche |
Mercy BioAnalytics, Inc. |
PLCO |
Feb 3, 2025 |
2024-0114 |
| Validation of a prostate cancer prognostication model |
Aurélien de Reyniès |
Assistance Publique Hôpitaux de Paris |
PLCO |
Mar 22, 2022 |
PLCO-953 |
| Validation of a radiolological report generation model for chest radiographs |
Hyungjin Kim |
Seoul National University Hospital |
PLCO |
Dec 4, 2023 |
PLCOI-1404 |
| Validation of a Risk Assessment Decision Rule for Epithelial Ovarian Cancer |
Nicole Urban |
Fred Hutchinson Cancer Research Center |
PLCO |
Dec 3, 2012 |
PLCO-6 |
| Validation of a Self-Supervised Model for Tumor Recognition and Generalizability using the PLCO Cancer Screening Trial Dataset |
Addie Dvir |
Imagene |
PLCO |
Feb 8, 2023 |
PLCOI-1158 |
