Nathanael R. Fillmore
Topics / Pancreatic Cancer
Topic

Pancreatic Cancer

Fillmore has focused on improving early detection and surgical equity for pancreatic cancer. He developed deep learning models that analyze longitudinal electronic health records to identify high-risk patients up to three years before diagnosis. Additionally, his research identifies persistent socioeconomic disparities in access to surgical resection and survival outcomes within the Veterans Health Administration.

U.S. Veterans and VA Data 3 Electronic Health Records 2 Predictive Modeling 2 Deep Learning 2 Real World Evidence 2 Early Detection 2 Transformer Model 1 Longitudinal Data Analysis 1 Machine Learning 1 External Validation 1 Model Validation 1 Retrospective Cohort Study 1

Publications (3)

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