Nathanael R. Fillmore
Topics / Cancer Patients
Topic

Cancer Patients

Fillmore has extensively studied the intersection of comorbidities, frailty, and health disparities in patients with cancer. His research has led to the development of deep learning models and electronic risk scores that improve the prediction and prevention of cancer-associated thromboembolism. Additionally, he has investigated how frailty and socioeconomic factors influence oncology outcomes and the effectiveness of immunotherapies in real-world clinical settings.

U.S. Veterans and VA Data 18 Retrospective Cohort Study 15 Real World Evidence 13 Electronic Health Records 12 Cancer-Associated Thrombosis 8 Overall Survival 8 Patient Outcomes 8 Frailty 7 Survival Analysis 7 Cox Proportional Hazards Model 7 Risk Stratification 7 Systemic Cancer Therapy 7

Publications (23)

2026

Development and validation of venous thromboembolism-bidirectional encoder representations from transformers (VTE-BERT) natural language processing model.

Omid Jafari, Shengling Ma, Barbara D. Lam, Jun Y. Jiang, Emily Zhou, Mrinal Ranjan, Justine Ryu, Raka Bandyo, Arash Maghsoudi, Bo Peng, Christopher I. Amos, Abiodun Oluyomi, Nathanael R. Fillmore, Jennifer La‡, Ang Li‡‡ Equal senior authorship

Journal of Thrombosis and Haemostasis24(7), 2522-2531
Natural Language Processing External Validation Clinical Notes Radiology and Pathology Reports Cancer Patients
2026

Frailty and survival outcomes in veterans with invasive cutaneous melanoma: A Veterans Affairs Cancer Registry retrospective cohort study.

Linden B. Huhmann†, Jonathan C. Hwang†, Daniel Y. Kim, Kaelyn Nannini, Nhan V. Do, John M. Gaziano, Lee E. Wheless, Nathanael R. Fillmore‡, Rebecca I. Hartman‡† Equal first authorship · ‡ Equal senior authorship

Journal of the American Academy of Dermatology95(1), 240-243
U.S. Veterans and VA Data Retrospective Cohort Study Cancer-Associated Thrombosis Cutaneous Melanoma Overall Survival
2026

A deep learning model to dynamically predict cancer-associated thromboembolism in large-scale healthcare systems.

Tianshe He†, Chunlei Zheng†, Jennifer La, Dang Pham, Omid Jafari, Jamie Strampe, Karlynn Dulberger, Jaime Ramos-Cejudo, J. Michael Gaziano, Nhan V. Do, Vipul Chitalia, Katya Ravid, Ang Li‡, Nathanael R. Fillmore‡† Equal first authorship · ‡ Equal senior authorship

npj Digital Medicine
U.S. Veterans and VA Data Electronic Health Records Cancer-Associated Thrombosis Predictive Modeling External Validation
2025

Potentially Inappropriate Medications, Frailty, and Outcomes in Patients With Cancer Managed in a National Health Care System.

Jennifer La, Tammy Hshieh, Anahid Hamparsumian, Robert Zwolinski, Jameson Wood, Mayuri Dharne, J. Michael Gaziano, Mary T. Brophy, Nhan V. Do, Nikhil C. Munshi, Jane A. Driver, Gregory A. Abel, Nathanael R. Fillmore‡, Clark DuMontier‡‡ Equal senior authorship

Journal of the National Comprehensive Cancer Network23(9), 363-370
U.S. Veterans and VA Data Retrospective Cohort Study Electronic Health Records Frailty Overall Survival
2025

External validation of a novel cancer-associated venous thromboembolism risk assessment score in a safety-net hospital.

Karlynn N. Dulberger†, Jennifer La†, Ang Li†, Saran Lotfollahzadeh, Asha Jose, Nhan V. Do, Mary T. Brophy, J. Michael Gaziano, Katya Ravid, Vipul C. Chitalia, Nathanael R. Fillmore† Equal first authorship

Research and Practice in Thrombosis and Haemostasis9(1), 102650
Cancer-Associated Thrombosis External Validation Electronic Health Records Retrospective Cohort Study Cancer Patients
2024

Thrombosis risk prediction in lymphoma patients: A multi-institutional, retrospective model development and validation study.

Shengling Ma†, Jennifer La†, Kaitlin N. Swinnerton, Danielle Guffey, Raka Bandyo, Las Pozas Giordana De, Katy Hanzelka, Xiangjun Xiao, Cristhiam M. Rojas-Hernandez, Christopher I. Amos, Vipul Chitalia, Katya Ravid, Kelly W. Merriman, Christopher R. Flowers, Nathanael Fillmore‡, Ang Li‡† Equal first authorship · ‡ Equal senior authorship

American Journal of Hematology99(7), 1230-1239
U.S. Veterans and VA Data Retrospective Cohort Study Cancer-Associated Thrombosis Lymphoma Predictive Modeling
2024

Real-world effectiveness of immune checkpoint inhibitors and BRAF/MEK inhibitors among veteran patients with cutaneous melanoma.

Daniel Y. Kim, Susan M. Swetter, Linden Huhmann, Matthew P. Dizon, Jacqueline M. Ferguson, Thomas F. Osborne, Allyson C. Spence, Amina Ziad, Nathanael Fillmore‡, Rebecca I. Hartman‡‡ Equal senior authorship

Journal of the American Academy of Dermatology90(3), 620-623
U.S. Veterans and VA Data Retrospective Cohort Study Cutaneous Melanoma Immune Checkpoint Inhibitors BRAF/MEK Inhibitors
2023

External validation of a novel electronic risk score for cancer-associated thrombosis in a comprehensive cancer center.

Ang Li, Las Pozas Giordana De, Clark R. Andersen, Chijioke C. Nze, Katy M. Toale, Emily M. Milner, Nathanael R. Fillmore, Elizabeth Yu Chiao, Hernandez Cristhiam Rojas, Michael H. Kroll, Kelly W. Merriman‡, Christopher R. Flowers‡‡ Equal senior authorship

American Journal of Hematology98(7), 1052-1057
Cancer-Associated Thrombosis Electronic Health Records External Validation Model Validation Natural Language Processing
2022

Association of COVID-19 Vaccination With SARS-CoV-2 Infection in Patients With Cancer: A US Nationwide Veterans Affairs Study.

Julie Tsu-Yu Wu†, Jennifer La†, Westyn Branch-Elliman, Linden B. Huhmann, Summer S. Han, Giovanni Parmigiani, David P. Tuck, Mary T. Brophy, Nhan V. Do, Albert Y. Lin‡, Nikhil C. Munshi‡, Nathanael R. Fillmore‡† Equal first authorship · ‡ Equal senior authorship

JAMA Oncology8(2), 281-286
U.S. Veterans and VA Data Retrospective Cohort Study COVID-19 Vaccine Effectiveness Cancer Patients
2021

Contemporary Analysis of Electronic Frailty Measurement in Older Adults with Multiple Myeloma Treated in the National US Veterans Affairs Healthcare System.

Clark DuMontier†, Nathanael R. Fillmore†, Cenk Yildirim, David Cheng, Jennifer La, Ariela R. Orkaby, Brian Charest, Diana Cirstea, Sarvari Yellapragada, John Michael Gaziano, Nhan Do, Mary T. Brophy, Dae H. Kim, Nikhil C. Munshi, Jane A. Driver† Equal first authorship

Cancers13(12)
U.S. Veterans and VA Data Retrospective Cohort Study Electronic Health Records Multiple Myeloma Frailty
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