| Exploring the Viability of New Technology to Quickly Determine All Feature Contributions, Feature Value Contributions, Feature Interactions, and Feature Value Interactions that lead to cancer. |
Victor McGuire |
Renown AI, Inc. |
PLCO |
Jul 19, 2023 |
PLCO-1275 |
| Optimal and Fair Encouragement Designs |
Angela Zhou |
University of Southern California |
PLCO |
Jul 19, 2023 |
PLCO-1271 |
| Heterogeneity of screening effects |
Hormuzd Katki |
NCI |
NLST |
Jul 18, 2023 |
NLST-1098 |
| Development and validation of a deep learning-based method for lung cancer risk prediction in low-dose chest CT images |
Haewon Kim |
Keimyung University Dongsan Hospital |
NLST |
Jul 18, 2023 |
NLST-1097 |
| Application of Predictive Modelling Using Machine Learning Techniques to Predict Survival in Oncology |
Shanti Neff-Baro |
Amaris Consulting |
NLST |
Jul 18, 2023 |
NLST-1096 |
| Automated extraction of chest CT derived body composition biomarkers of tissue morphology and texture. |
Miranda Kirby |
Toronto Metropolitan University |
NLST |
Jul 18, 2023 |
NLST-1095 |
| Role of directly measured metabolic profile as an intermediate between adiposity and endometrial cancer: triangulation of evidence from independent sources |
Laure Dossus |
The International Agency for Research on Cancer, World Health Organization (IARC) |
PLCO |
Jul 3, 2023 |
PLCO-1265 |
| Methodologies for modeling clinical performance and utilities of a cancer screening test using NLST trial as an example |
James Dai |
GRAIL LLC |
NLST |
Jul 3, 2023 |
NLST-1090 |
| Blood-based biomarkers for personalized risk assessment of breast and ovarian cancers |
Johannes Fahrmann |
University of Texas MD Anderson Cancer Center |
PLCO |
Jul 1, 2023 |
2022-0048 |
| Characterizing the independent and joint contributions of the chemical, non-chemical, and social-structural environment on cancer incidence and mortality in the PLCO Study |
Jessica Madrigal |
Jessica Madrigal |
PLCO |
Jun 22, 2023 |
PLCO-1259 |
| Impact of treatment options on patient outcomes in hard - to - treat cancers: creating a personalized treatment framework using Machine Learning to address disparities in developed v. LMIC nations’ healthcare |
Georgia Perakis |
Massachusetts Institute of Technology |
PLCO |
Jun 22, 2023 |
PLCOI-1256 |
| In Silico Testing of Hypotheses for the Effect of Smoking on Somatic Evolution in the Healthy Human Lung |
Sam Janes |
University College London |
PLCO |
Jun 22, 2023 |
PLCO-1258 |
| Conceal-Reveal analysis |
Paul Pinsky |
NCI |
MINN |
Jun 20, 2023 |
MINN-4 |
| Improving lung cancer risk prediction with artificial intelligence |
Chiara Paganelli |
Politecnico di Milano |
NLST |
Jun 15, 2023 |
NLST-1087 |
| Development of a Nodule Risk Calculator using NLST Data |
Christopher Towe |
University Hospitals |
NLST |
Jun 15, 2023 |
NLST-1086 |
| Analyze the effectiveness of CA-125 to detect ovarian and non-ovarian cancer. |
Joel Sokol |
Georgia Institute of Technology |
PLCO |
Jun 13, 2023 |
PLCO-1253 |
| Detection of frameshift mutations in microsatellite instable colorectal cancer in the PLCO Cancer Screening Trial |
Robert Shoemaker |
National Cancer Institute |
PLCO |
Jun 12, 2023 |
2023-0063 |
| Environmental and Metabolic Phenotyping of the Blood Cancer Exposome |
Douglas Walker |
Emory University |
PLCO |
Jun 12, 2023 |
2023-0062 |
| Quantifying the proteome: exploratory associations with hepatocellular carcinoma |
Eleanor Watts |
Eleanor L. Watts |
PLCO |
Jun 12, 2023 |
2023-0061 |
| Characterizing the role of disruptive changes in native stromal architecture and cell composition in the etiopathogenesis and natural history of multi-state colorectal and prostate cancers |
Mustapha Abubakar |
Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, USA |
PLCO |
Jun 12, 2023 |
2023-0058 |
