| 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 |
| Dietary Inflammatory Index and risk of differentiated thyroid cancer in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial |
Li Chen |
Department of the Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical university |
PLCO |
Oct 24, 2019 |
PLCO-543 |
| 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 |
| Link-based survival additive models with mixed types of censoring. |
Giampiero Marra |
University College London |
PLCO |
Oct 8, 2019 |
PLCO-538 |
| Inflammatory potential of diet and risk of ovarian cancer by menopausal status in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial |
Zhuyue Li |
West China Hospital |
PLCO |
Oct 8, 2019 |
PLCO-536 |
| Exploration of deep learning-based model's lung cancer screening capabilities. |
Manwoo Lee |
Samsung Electronics |
PLCO |
Oct 8, 2019 |
PLCOI-537 |
| “Development of a probabilistic network for clinical pathways based on patient cohort characteristics, outcome-indicators and clinical workflow analysis to create artificial patients with prostatic adenocarcinoma” |
Andrea Riedel |
Institute for general practitioners |
PLCO |
Oct 8, 2019 |
PLCO-535 |
| Tobacco smoking is associated with increased tumor grade and stage and grade along with the mucinous carcinoma histopathologic type. |
Rodger Rothenberger |
University of Cincinnati |
PLCO |
Oct 3, 2019 |
PLCO-534 |
| A Comparison Between Multi Classification Algorithms on PLCO Colorectal Cancer Dataset |
Bawer Berwary |
Van Yuzuncu Yil University |
PLCO |
Oct 3, 2019 |
PLCO-533 |
| Use of deep learning to predict response of treatment for late stage lung cancer patients. |
Monika Mehta |
SGInnovate - Entrepreneur First |
PLCO |
Oct 3, 2019 |
PLCOI-531 |
| Serum Testosterone and Subsequent Risk of Urologic and Non-Urologic Cancer |
Joshua Halpern |
Northwestern University Feinberg School of Medicine |
PLCO |
Sep 26, 2019 |
PLCO-528 |
| Development of a machine-learning algorithm for generating realistic synthetic electronic healthcare records |
Andreas Maier |
FAU Erlangen Nürnberg |
PLCO |
Sep 26, 2019 |
PLCO-529 |
| Pan-cancer analyses of imaging-clinical phenotype associations |
Kun-Hsing Yu |
Harvard Medical School |
PLCO |
Sep 20, 2019 |
PLCOI-523 |
| Data mining study on clinical and imaging data for assessing cancer risk and estimating outcome |
Shandong Wu |
University of Pittsburgh, Department of Radiology |
PLCO |
Sep 20, 2019 |
PLCOI-519 |
| Assessing the interrelationship between different breast cancer diagnostic parameters and their overall effects on patient survival using machine learning tools |
Balint Balint |
University of Debrecen |
PLCO |
Sep 20, 2019 |
PLCO-524 |
| Predicting lung cancer recurrence with machine learning |
Flavio Calmon |
Harvard University |
PLCO |
Sep 20, 2019 |
PLCOI-522 |
