Nathanael R. Fillmore
Topics / Risk Stratification
Topic

Risk Stratification

Fillmore has focused on improving risk stratification for cancer patients by developing and validating predictive models for cardiovascular disease and cancer-associated thromboembolism. He has integrated diverse data sources, including electronic health records, plasma protein panels, circulating tumor DNA, and machine learning architectures, to outperform traditional static risk scores. Additionally, he has identified clinical and molecular biomarkers, such as frailty indices and lymphocyte counts, to better predict survival and treatment outcomes in patients with hematologic malignancies and lung cancer.

U.S. Veterans and VA Data 12 Retrospective Cohort Study 10 Predictive Modeling 8 External Validation 8 Patient Outcomes 8 Real World Evidence 8 Cancer-Associated Thrombosis 8 Model Validation 7 Electronic Health Records 7 Cancer Patients 7 Survival Analysis 5 Systemic Cancer Therapy 4

Publications (16)

2026

Development and External Validation of a Machine Learning-Based Risk Classification Score for Prostate Cancer-Specific Cardiovascular Risk.

Nickolas Stabellini, Tarek Nahle, Viraj Shah, Sai S. Kollapaneni, Omar M. Makram, Jennifer Cullen, Neal L. Weintraub, Harikrishnan H. Kunhiraman, Umang Swami, Morteza Mahmoudi, Nathanael Fillmore, Isla P. Garraway, Darryl Leong, Jehonathan Pinthus, John Shanahan, Alberto J. Montero, Neeraj Agarwal, Avirup Guha

JCO Oncology PracticeOP2600131
Prostate Cancer Cardiovascular Disease Cardio-Oncology Machine Learning Predictive Modeling
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

Leveraging near-real-time patient and population data to incorporate fluctuating risk of severe COVID-19: development and prospective validation of a personalised risk prediction tool.

Kaitlin Swinnerton†, Nathanael R. Fillmore†, Austin Vo, Jennifer La, Danne Elbers, Mary Brophy, Nhan V. Do, Paul A. Monach‡, Westyn Branch-Elliman‡† Equal first authorship · ‡ Equal senior authorship

eClinicalMedicine81, 103114
U.S. Veterans and VA Data Retrospective Cohort Study COVID-19 Severe COVID-19 Predictive Modeling
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
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

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
2023

Derivation and Validation of a Clinical Risk Assessment Model for Cancer-Associated Thrombosis in Two Unique US Health Care Systems.

Ang Li†, Jennifer La†, Sarah B. May, Danielle Guffey, Costa Wilson L. da, Christopher I. Amos, Raka Bandyo, Emily M. Milner, Karen M. Kurian, Daniel C. R. Chen, Nhan V. Do, Carolina Granada, Nimrah Riaz, Mary T. Brophy, Vipul Chitalia, J. Michael Gaziano, David A. Garcia, Marc Carrier, Christopher R. Flowers, Neil A. Zakai‡, Nathanael R. Fillmore‡† Equal first authorship · ‡ Equal senior authorship

Journal of Clinical Oncology41(16), 2926-2938
Cancer-Associated Thrombosis Predictive Modeling Retrospective Cohort Study External Validation U.S. Veterans and VA Data