Veterans Health Administration (VHA) and National Cancer Institute (NCI) Interagency Preliminary Computable Phenotypes for the VA-NCI Interagency Clinical Trial Optimizer for Recruitment and Enrollment (VICTOR-E). - Theodore C. Feldman; Nathanael Fillmore; Sandy Chon; Shahin Assefnia; David Loose; Gisele A. Sarosy; Jennifer La; David Cheng; Frank Meng; Danielle Valley; Robert B. Hall; Paul Corcoran; et al. (AMIA, 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; Sung Feng-Chi; Robert B. Hall; Vinh Q. Nguyen; Nicholas B. Link; Robert Zwolinski; Svitlana Dipietro; Steven J. Miller 005; Anahit Aleksanyan; et al. (J. Am. Medical Informatics Assoc., 2020)

Machine-learning-based predictions of direct-acting antiviral therapy duration for patients with hepatitis C. - Theodore C. Feldman; Jules L. Dienstag; Kenneth D. Mandl; Yi-Ju Tseng (Int. J. Medical Informatics, 2021)

Corrigendum to: 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; Sung Feng-Chi; Robert B. Hall; Vinh Q. Nguyen; Nicholas B. Link; Robert Zwolinski; Svitlana Dipietro; Stephen J. Miller; Anahit Aleksanyan; et al. (J. Am. Medical Informatics Assoc., 2021)

Phenotyping Hepatic Immune-Related Adverse Events After Immune Checkpoint Inhibitor Therapy. - Theodore C. Feldman; Nathanael Fillmore; Nhan V. Do; Mary Brophy; David Kaplan; Albert Lin (AMIA, 2022)

Better PROSPECT for cancer care: Supporting the generation and delivery of knowledge for decision making at tumor boards with the Precision Oncology System for Prediction, Engineering, and Clinical Translation (PROSPECT). - Austin D. Vo; Danne C. Elbers; Theodore C. Feldman; Paul A. Marcantonio; Anahit Aleksanyan; Nhan Vo; Feng-Chi Sung; Svitlana Dipietro; Arkadiy Dolgin; Rupali Dhond; Mary Brophy; Nathanael Fillmore; et al. (AMIA, 2022)

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; et al. (MedInfo, 2023)