2024 Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots. Matthew Clark, Christopher Meyer, Jaime Ramos-Cejudo, Danne C. Elbers, Karen Pierce-Murray, Rafael Fricks, Gil Alterovitz, Luigi Rao, Mary T. Brophy, Nhan V. Do, Robert L. Grossman, Nathanael R. Fillmore Studies in Health Technology and Informatics310, 735-739 Lung Cancer Mortality Prediction Transfer Learning Low-Resolution Histopathology Predictive Modeling
2023 Prostate cancer patient stratification by molecular signatures in the Veterans Precision Oncology Data Commons. Kyle M. Hernandez†, Aarti Venkat†, Danne C. Elbers†, John R. Bihn, Mary T. Brophy, Nhan V. Do, Jennifer La, Qiong Liu, Andrew Prokhorenkov, Noah Metoki-Shlubsky, Feng-Chi Sung, Channing J. Paller‡, Nathanael R. Fillmore‡, Robert L. Grossman‡† Equal first authorship · ‡ Equal senior authorship Cold Spring Harbor Molecular Case Studies9(4) U.S. Veterans and VA Data Retrospective Cohort Study Prostate Cancer Metastatic Castration-Resistant Prostate Cancer Precision Oncology
2020 The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database. Danne C. Elbers†, Nathanael R. Fillmore†, Feng-Chi Sung, Spyridon S. Ganas, Andrew Prokhorenkov, Christopher Meyer, Robert B. Hall, Samuel J. Ajjarapu, Daniel C. Chen, Frank Meng, Robert L. Grossman, Mary T. Brophy, Nhan V. Do† Equal first authorship Patterns1(6), 100083 U.S. Veterans and VA Data Electronic Health Records VA Cancer Registry Genomic Analysis Medical Imaging
2019 Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons. Nhan V. Do, Jaime C. Ramos, Nathanael R. Fillmore, Robert L. Grossman, Michael Fitzsimons, Danne C. Elbers, Frank Meng, Brett R. Johnson, Samuel Ajjarapu, Corri L. DeDomenico, Karen E. Pierce-Murray, Robert B. Hall, Andrew F. Do, Kelly Gaynor, Peter L. Elkin, Mary T. Brophy Studies in Health Technology and Informatics264, 1453 U.S. Veterans and VA Data Lung Cancer Machine Learning Predictive Modeling Overall Survival
2019 The Veterans Precision Oncology Data Commons: Transforming VA data into a national resource for research in precision oncology. Nhan Do, Robert Grossman, Theodore Feldman, Nathanael Fillmore, Danne Elbers, David Tuck, Rupali Dhond, Luis Selva, Frank Meng, Michael Fitzsimons, Samuel Ajjarapu, Siamack Ayandeh, Robert Hall, Stephanie Do, Mary Brophy Seminars in Oncology46(4-5), 314-320 U.S. Veterans and VA Data Electronic Health Records Precision Oncology Data Sharing Platform Clinical Informatics
