Nathanael R. Fillmore
Themes / Computational Infrastructure for Learning Healthcare Systems
Line of work

Computational Infrastructure for Learning Healthcare Systems

This work focuses on the architecture of data repositories and the implementation of AI tools to bridge the gap between research and clinical practice. Key projects include the Veterans Precision Oncology Data Commons (VPODC) and the ENTHRALL platform.

Predictive Modeling Precision Oncology Health Informatics Clinical Decision Support

Anchor result

The VPODC framework successfully transformed large-scale VA clinical and genomic data into a national resource for precision oncology research.

Related publications

2025

Rapid Support and Implementation of an Application for the Prediction Augmented Screening Initiative (PASI) Planning Phase Through the Enabling Technologies for Rapid Learning Health Systems Platform (ENTHRALL) at the Department of Veterans Affairs (VA).

Hannah M. Tosi, Chunlei Zheng, Amelia H. Tarren, Meghana Yellanki, Stephen J. Miller, Oleg V. Soloviev, June K. Corrigan, George R. Schneeloch, Hormuzd A. Katki, Lauren E. Kearney, Tanner J. Caverly, Nichole T. Tanner, Renda Soylemez Wiener, Mary Brophy, Nathanael R. Fillmore, Nhan V. Do, Danne C. Elbers

Cancer Informatics24, 11769351251389781
U.S. Veterans and VA Data Electronic Health Records Lung Cancer Natural Language Processing Learning Health Systems
2024

Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow.

Nhan V. Do, Danne C. Elbers, Nathanael R. Fillmore, Samuel Ajjarapu, Steven J. Bergstrom, John Bihn, June K. Corrigan, Rupali Dhond, Svitlana Dipietro, Arkadiy Dolgin, Theodore C. Feldman, Sergey D. Goryachev, Linden B. Huhmann, Jennifer La, Paul A. Marcantonio, Kyle M. McGrath, Stephen J. Miller, Vinh Q. Nguyen, George R. Schneeloch, Feng-Chi Sung, Kaitlin N. Swinnerton, Amelia H. Tarren, Hannah M. Tosi, Danielle Valley, Austin D. Vo, Cenk Yildirim, Chunlei Zheng, Robert Zwolinski, Gisele A. Sarosy, David Loose, Colleen Shannon, Mary T. Brophy

Studies in Health Technology and Informatics310, 1086-1090
U.S. Veterans and VA Data Electronic Health Records Natural Language Processing Clinical Trial Enrollment Patient Screening Workflow
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
2023

A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories.

Davide Placido†, Bo Yuan†, Jessica X. Hjaltelin†, Chunlei Zheng†, Amalie D. Haue, Piotr J. Chmura, Chen Yuan, Jihye Kim, Renato Umeton, Gregory Antell, Alexander Chowdhury, Alexandra Franz, Lauren Brais, Elizabeth Andrews, Debora S. Marks, Aviv Regev, Siamack Ayandeh, Mary T. Brophy, Nhan V. Do, Peter Kraft, Brian M. Wolpin, Michael H. Rosenthal, Nathanael R. Fillmore, Søren Brunak‡, Chris Sander‡† Equal first authorship · ‡ Equal senior authorship

Nature Medicine29(5), 1113-1122
U.S. Veterans and VA Data Electronic Health Records Pancreatic Cancer Predictive Modeling Deep Learning
2020

An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center.

Nathanael R. Fillmore†, Danne C. Elbers†, Jennifer La, Theodore C. Feldman, Feng-Chi Sung, Robert B. Hall, Vinh Nguyen, Nicholas Link, Robert Zwolinski, Svitlana Dipietro, Steven J. Miller, Anahit Aleksanyan, Sergey D. Goryachev, Paul Corcoran, Steven J. Bergstrom, Michael A. Parenteau, Robert S. Sprague, David J. Thornton, Jane A. Driver, Judith M. Strymish, Stewart Evans, Benjamin Colonna, Mary T. Brophy, Nhan V. Do† Equal first authorship

Journal of the American Medical Informatics Association27(11), 1716-1720
COVID-19 Occupational Health Patient Tracking Contact Tracing Health Informatics
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