| Vegetarianism and chronic disease risk |
Yumie Takata |
Oregon State University |
PLCO |
Jan 8, 2020 |
PLCO-564 |
| Mutational landscape of in situ breast cancers in relation to invasive breast cancers |
Clara Bodelon |
NIH |
PLCO |
Dec 27, 2019 |
2019-1017 |
| A nested case-control study of circulating per- and polyfluoroalkyl substances (PFAS) and ovarian and endometrial cancers in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial |
Rena Jones |
National Cancer Institute |
PLCO |
Dec 27, 2019 |
2019-1010 |
| Associations of Serum Trimethylamine N-oxide, Choline, Carnitine, and Betaine with Colorectal Cancer Risk |
Doratha Byrd |
Moffitt Cancer Center |
PLCO |
Dec 27, 2019 |
2019-1004 |
| Graph Convolutional Networks for Cancer Diagnosis, Prognosis and Therapeutic Response Prediction |
Faisal Mahmood |
Brigham and Women's Hospital |
PLCO |
Dec 18, 2019 |
PLCOI-562 |
| Instrumental variable methods in survival outcome |
Youjin Lee |
University of Pennsylvania |
PLCO |
Dec 16, 2019 |
PLCO-561 |
| Blood metabolomics, smoking and lung cancer risk |
Wei Jie Seow |
National University of Singapore |
PLCO |
Dec 16, 2019 |
PLCO-558 |
| Analyses using GWAS data from PLCO to evaluate genetic impact on colorectal screening and outcomes |
Wen-Yi Huang |
National Cancer Institute |
PLCO |
Dec 11, 2019 |
PLCO-560 |
| Integrating Genomics and Metabolomics to Develop Predictive Models of Prostate Cancer in Multiethnic Men |
Burcu Darst |
University of Southern California |
PLCO |
Nov 26, 2019 |
PLCO-555 |
| Associations of Dietary Inflammatory and Insulinemic Potential with Risk of Cancer Development |
Fred Tabung |
The Ohio State University College of Medicine |
PLCO |
Nov 25, 2019 |
PLCO-553 |
| Association of endogenous estrogens, estrogen metabolites, androgens and androgen metabolites with Ovarian Cancer |
Britton Trabert |
NIH |
PLCO |
Nov 21, 2019 |
2016-0047 |
| Machine Learning Application of Cancer Data Analysis |
Mochen Li |
Purdue University |
PLCO |
Nov 13, 2019 |
PLCO-552 |
| Integrating AI into workflow |
akio iwase |
NucleusHealth |
PLCO |
Nov 4, 2019 |
PLCOI-542 |
| Exascale Deep Learning for screening based predictive modeling for lung cancer |
Greeshma Agasthya |
Oak Ridge National Laboratory |
PLCO |
Nov 4, 2019 |
PLCOI-544 |
| Incorporating Biomarkers to Improve Lung Cancer Risk Prediction |
Samir Hanash |
University of Texas at MD Anderson |
PLCO |
Nov 4, 2019 |
PLCO-549 |
| Colorectal cancer risk factors, risk prediction and blood-based biomarker by tumor consensus molecular subtype |
Jennifer Davis |
University of Kansas Medical Center |
PLCO |
Oct 29, 2019 |
2018-0009 |
| Machine Learning to select patients benefiting from prostate cancer screening |
Jean-Emmanuel Bibault |
Laboratory of Artificial Intelligence in Medicine and Biomedical Physics, Stanford University |
PLCO |
Oct 24, 2019 |
PLCO-541 |
| Predicting Cancer diagnosis based on preliminary screenings |
Jonathan Mendoza |
Independent |
PLCO |
Oct 24, 2019 |
PLCO-532 |
| Quantitative analysis of tissue morphology and biomarkers with convolutional neural networks for improve prognostics of prostate cancer |
Geert Litjens |
Radboud University Medical Center |
PLCO |
Oct 11, 2019 |
PLCOI-540 |
| Evaluation of Patients Data using AI techniques and It's Application in Pancreatic Cancer Differential Diagnosis |
Wanessa Sena |
Federal Institute of Pernambuco |
PLCO |
Oct 10, 2019 |
PLCO-539 |
