One carbon metabolism and endometrial cancer risk |
Britton Trabert |
NIH |
PLCO |
Nov 22, 2016 |
2016-0049 |
One-carbon metabolism and risk of lung cancer in a multi-cohort consortium |
Neil Caporaso |
DCEG |
PLCO |
Aug 12, 2013 |
2010-0043 |
One carbon nutritional factors and pancreatic cancer risk |
Rachael Stolzenberg-Solomon |
NCI, DCEG, NEB |
PLCO |
Feb 15, 2007 |
2007-0057 |
Operationalizing recommendations for chronic disease and cancer prevention into a composite score |
Rebecca Seguin-Fowler |
Texas A&M AgriLife Research |
PLCO |
Nov 13, 2023 |
PLCO-1379 |
Opioid Cohort Consortium (OPICO) to investigate the effects of opioid use on cancer incidence and mortality |
Mahdi Sheikh |
Internatioanl Agency for Research on Cancer (IARC - WHO) |
PLCO |
May 11, 2021 |
PLCO-784 |
Opportunistic AI - detection of spinal anomalies indicative of osteoporosis on routine imaging |
Ronen Gordon |
Zebra Medical Vision Ltd. |
NLST |
Sep 14, 2021 |
NLST-834 |
Optimal and Fair Encouragement Designs |
Angela Zhou |
University of Southern California |
PLCO |
Jul 19, 2023 |
PLCO-1271 |
Optimal endoscopy screening and surveillance intervals for colorectal cancer |
Xin Zhou |
Harvard University |
PLCO |
Nov 2, 2015 |
PLCO-174 |
Optimization of Lung Cancer Screening Based on Multicenter Data |
xinyue shan |
Beijing Wuzi University |
NLST |
Jul 26, 2024 |
NLST-1302 |
Optimization of lung cancer screening interval by deep learning-based risk prediction |
Adam Alessio |
Michigan State University |
NLST |
Feb 16, 2022 |
NLST-883 |
Optimization of nodule management strategies in lung cancer screening for high-risk populations |
Tiantian Zhang |
Jinan University |
NLST |
Apr 10, 2024 |
NLST-1228 |
Optimize radiological workflows with automated diagnostics |
Daniel Drieling |
MeVis Medical Solutions AG |
NLST |
Mar 29, 2019 |
NLST-491 |
Optimizing combination of chemotherapy and checkpoint inhibitors of oncology treatment by offline deep reinforcement learning |
Yao Yao |
City University of Hong Kong |
PLCO |
Dec 27, 2022 |
PLCO-1133 |
Optimizing Early Lung Cancer Detection Utilizing Computer Vision Techniques |
Stephen Lam |
British Columbia Cancer Agency |
NLST |
Jun 18, 2014 |
NLST-78 |
Optimizing Lung Cancer Early Detection by LDCT via Computer Vision |
Kingshuk Das |
AnimanDx Inc |
NLST |
Nov 14, 2019 |
NLST-602 |
Optimizing Lung Cancer Screening Nodule Evaluation |
Mark Hammer |
Brigham and Women's Hospital |
NLST |
Sep 24, 2021 |
NLST-838 |
Optimizing lung cancer treatments from public clinical trial data |
Shimon Sheiba |
Causalis.ai |
NLST |
Apr 22, 2021 |
NLST-729 |
Optimizing prostate cancer PSA screening through genetic profiling: Towards a personalized screening approach |
Laurent Briollais |
Lunenfeld-Tanenbaum Research Institute - Mount Sinai Hospital |
PLCO |
Mar 1, 2016 |
PLCO-194 |
Optimizing radiological workflow with automated diagnostics |
Mark-Jan Harte |
Aidence |
NLST |
Nov 25, 2015 |
NLST-181 |
Optimizing the Implementation of Novel Diagnostic Tests for Prostate, Lung, and Colon Cancer |
Grant Langseth |
OncoCellMDx |
PLCO |
Dec 29, 2015 |
PLCO-185 |