| The Impact of Obesity on the Diagnosis and Treatment of Colorectal Cancer |
Jaime Savitz |
Keck Graduate Institute (KGI) |
PLCO |
Jul 15, 2024 |
PLCO-1618 |
| Grand Challenges on the development of AI algorithms for lung cancer screening. |
Colin Jacobs |
Radboud University Medical Center |
NLST |
Jul 8, 2024 |
NLST-1282 |
| Development and validation of risk prediction models for lung cancer for the ENGAGE framework |
Iakovos Toumazis |
The University of Texas MD Anderson Cancer Center |
NLST |
Jul 8, 2024 |
NLST-1275 |
| Validation of the deep learning models on NLST data (Chest radiographs) |
yoona hwang |
VUNO Inc. |
NLST |
Jul 8, 2024 |
NLST-1274 |
| Advancing Precision Oncology Through Digital Profiling: Integrating Multimodal Data for Personalized Cancer Treatment |
Abdul Azeez Irfan |
Sri Lanka Institute of Information Technology |
PLCO |
Jul 8, 2024 |
PLCO-1579 |
| Detecting possible individuals with benefit from ovarian cancer screening: a counterfactual prediction modelling study |
David van Klaveren |
Erasmus University Medical Center |
PLCO |
Jul 8, 2024 |
PLCO-1606 |
| Structural nature of time-related biases in cancer screening studies: Using PLCO Trial data to inform causal diagrams and simulation |
Matthew Coates |
University of California, Los Angeles |
PLCO |
Jul 8, 2024 |
PLCO-1615 |
| Survival prediction and extraction of novel microscopic diagnostic patterns in prostate cancer |
Johannes Lotz |
Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. |
PLCO |
Jul 8, 2024 |
PLCOI-1612 |
| Biomarkers for Head and Neck Cancer |
Uday Kumbhar |
Innotech Precision Medicine |
PLCO |
Jul 8, 2024 |
PLCO-1571 |
| An interdisciplinary approach to investigate factors influencing the changes in age-specific incidence of ovarian cancer. |
Imogen Rogers |
University of Sussex |
PLCO |
Jul 8, 2024 |
PLCO-1605 |
| Development and validation of risk prediction models for lung cancer for the ENGAGE framework |
Iakovos Toumazis |
The University of Texas MD Anderson Cancer Center |
PLCO |
Jun 24, 2024 |
PLCO-1603 |
| Marker Discovery and Prognostic Modeling in Prostate Cancer to Identify Optimal Therapy and Intervention. |
sumit maan |
Indian Institute of Technology, Mandi |
PLCO |
Jun 24, 2024 |
PLCOI-1594 |
| Using population-based healthcare data to investigate the risk of mortality or relapse after radiotherapy for prostate cancer |
Bill Nailon |
University of Edinburgh |
PLCO |
Jun 24, 2024 |
PLCO-1601 |
| SEGMENTATION AND CLASSIFICATION OF LUNG CANCER USING CNN MODELS |
Ridwanullah Alabi |
Kwara State University |
NLST |
Jun 24, 2024 |
NLST-1277 |
| Genetics of prostate cancer survival in African-American men |
Robert Klein |
Icahn School of Medicine at Mount Sinai |
PLCO |
Jun 17, 2024 |
2024-0110 |
| AI-Enhanced Exploration of Lung Cancer Risk Factors |
Antonio Jesus Diaz Honrubia |
Universidad Politécnica de Madrid |
NLST |
Jun 17, 2024 |
NLST-1273 |
| SynapticEdge: Deep learning-based diagnostic tool for lung cancer pathology images |
Oke Dimas Asmara |
University of Groningen |
NLST |
Jun 17, 2024 |
NLST-1272 |
| AI-Enhanced Lung Cancer Risk Prediction and Nodule Detection |
Mohammad Monir Uddin |
North South University |
NLST |
Jun 17, 2024 |
NLST-1270 |
| Design and development of an AI algorithm to predict recurrence and treatment response in NSCLC patients from CT and pathology images |
Raffaella Massafra |
Istituto Tumori "Giovanni Paolo II" I.R.C.C.S. |
NLST |
Jun 17, 2024 |
NLST-1269 |
| Automated classification/ detection of Incidental Findings in LCS scans |
Colin Jacobs |
Radboud University Medical Center |
NLST |
Jun 17, 2024 |
NLST-1268 |
