| HDoCS in PLCO: Health Disparities of Cancer Survivors in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial |
Jacqueline Vo |
National Cancer Institute |
PLCO |
Dec 2, 2020 |
PLCO-696 |
| Deep learning for identification of spread through air spaces (STAS) and prediction of survival of lung adenocarcinoma using pathology images |
I-Fang Chung |
Institute of Biomedical Informatics, National Yang-Ming University, Taiwan |
NLST |
Dec 2, 2020 |
NLST-730 |
| Nonlinear performance analysis and prediction for robust low dose lung CT |
Grace Gang |
Johns Hopkins University |
NLST |
Nov 17, 2020 |
NLST-728 |
| Applying Machine Learning on available datasets to derive knowledge |
Shalini Madhan |
st josephs college of engineering |
PLCO |
Nov 17, 2020 |
PLCO-690 |
| Machine Learning for Colorectal Cancer Risk Prediction |
Ling Zheng |
Monmouth University |
PLCO |
Nov 17, 2020 |
PLCO-687 |
| Evaluate the impact of ovarian cancer interventions for primary prevention, screening and treatment |
Iakovos Toumazis |
The University of Texas MD Anderson Cancer Center |
PLCO |
Nov 17, 2020 |
PLCO-689 |
| Deep learning based cancer grading for early detection from histology image biostatistics |
Ahmet Coskun |
Georgia Institute of Technology |
PLCO |
Nov 17, 2020 |
PLCOI-695 |
| Using clinicopathological data to determine risk of metachronous advanced colorectal neoplasia among patients with adenomas |
Laura Hester |
Janssen Research and Development, LLC |
PLCO |
Nov 17, 2020 |
PLCO-688 |
| An examination of the relationship between specific driver mutations, target drugs, and immunotherapies in non-small cell lung cancer survival outcomes. |
Lauren Connell |
Independent |
PLCO |
Nov 17, 2020 |
PLCO-691 |
| Predicting survival and molecular expression from histological images in lung cancer |
Gil Shamai |
Technion Research and Development Foundation Ltd |
NLST |
Nov 17, 2020 |
NLST-727 |
| Heterogeneous Odds Ratio Estimation |
Jean Pauphilet |
London Business School |
PLCO |
Nov 4, 2020 |
PLCO-686 |
| Deep Learning for Discovering and Visualising Biomarkers |
Gustavo Carneiro |
University of Adelaide |
NLST |
Nov 4, 2020 |
NLST-723 |
| Evaluating key determinants for the risk of second primary lung cancer among breast and colorectal cancer survivors using population-based screening trial data from the PLCO |
Summer Han |
Stanford University |
PLCO |
Oct 27, 2020 |
PLCO-683 |
| Statistical Methods and Artificial Intelligence Deep Learning to Identify the Risk Factors of Colorectal Cancer |
Ranju Karki |
University of South Florida |
PLCO |
Oct 27, 2020 |
PLCO-684 |
| Validation of Deep Learning Algorithm by using extended follow-up data in the National Lung Screening Trial |
Ping Hu |
NCI |
NLST |
Oct 22, 2020 |
NLST-715 |
| Statistical Modelling on Pancreatic Cancer |
ADITYA CHAKRABORTY |
University of south Florida |
PLCO |
Oct 22, 2020 |
PLCO-680 |
| Investigating multi-modal signatures of clinical outcome to immunotherapy in renal cell carcinoma |
Sachet Shukla |
Dana-Farber Cancer Institute |
PLCO |
Oct 22, 2020 |
PLCO-679 |
| Statistical methods to identify the “causal SNP” from among SNPs in high LD with an index SNP |
Mitchell Gail |
National Cancer Institute |
PLCO |
Oct 22, 2020 |
PLCO-678 |
| Predicting time to castration resistance in hormone sensitive prostate cancer |
Ari Robinson |
The Institute for Medical BioMathematics (IMBM) |
PLCO |
Oct 22, 2020 |
PLCO-677 |
| Development and cost analysis of a lung nodule management strategy combining artificial intelligence and Lung-RADS for baseline lung cancer screening |
Paul Babyn |
University of Saskatchewan |
NLST |
Oct 22, 2020 |
NLST-722 |
