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Studies in Health Technology and Informatics|August 24, 2019
Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data CommonsNhan V Do, Jaime C Ramos, Nathanael R Fillmore, et al.
JAMA Dermatology|February 4, 2026
Identification of Risk Factors for Acral Melanoma in US VeteransJonathan C Hwang, Linden B Huhmann, Kelly Cho, et al.
Cancer Informatics|November 24, 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, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|January 10, 2023
Derivation and Validation of a Clinical Risk Assessment Model for Cancer-Associated Thrombosis in Two Unique US Health Care SystemsAng Li, Jennifer La, Sarah B May, et al.
Nature Medicine|May 8, 2023
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectoriesDavide Placido, Bo Yuan, Jessica X Hjaltelin, et al.
Neuro-Oncology|September 22, 2023
Brain tumors in United States military veteransJohn R Bihn, Gino Cioffi, Kristin A Waite, et al.
Journal of the American Medical Informatics Association : JAMIA|October 17, 2020
An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical centerNathanael R Fillmore, Danne C Elbers, Jennifer La, et al.
JHEP Reports : Innovation in Hepatology|February 2, 2026
Practice changing RCT design and rationale: Abbreviated MRI plus AFP <i>vs.</i> ultrasound plus AFP for HCC surveillance in cirrhosis (PREMIUM study)George N Ioannou, Tamar H Taddei, Beata M Planeta, et al.
JAMA Network Open|January 16, 2026
Docetaxel Rechallenge vs Cabazitaxel in Patients With Metastatic Castration-Resistant Prostate CancerPedro C Barata, June K Corrigan, Jennifer La, et al.
Studies in Health Technology and Informatics|January 25, 2024
Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial WorkflowNhan V Do, Danne C Elbers, Nathanael R Fillmore, et al.
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