Umpire 2.0: Simulating realistic, mixed-type, clinical data for machine learning. - Caitlin E. Coombes; Zachary B. Abrams; Samantha Nakayiza; Guy N. Brock; Kevin R. Coombes (F1000Research, 2020)

Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia. - Caitlin E. Coombes; Zachary B. Abrams; Suli Li; Lynne V. Abruzzo; Kevin R. Coombes (J. Am. Medical Informatics Assoc., 2020)

Mercator: a pipeline for multi-method, unsupervised visualization and distance generation. - Zachary B. Abrams; Caitlin E. Coombes; Suli Li; Kevin R. Coombes (Bioinform., 2021)

Pattern recognition in lymphoid malignancies using CytoGPS and Mercator. - Zachary B. Abrams; Dwayne G. Tally; Lin Zhang; Caitlin E. Coombes; Philip R. O. Payne; Lynne V. Abruzzo; Kevin R. Coombes (BMC Bioinform., 2021)

Simulation-derived best practices for clustering clinical data. - Caitlin E. Coombes; Xin Liu; Zachary B. Abrams; Kevin R. Coombes; Guy N. Brock (J. Biomed. Informatics, 2021)

A novel model to label delirium in an intensive care unit from clinician actions. - Caitlin E. Coombes; Kevin R. Coombes; Naleef Fareed (BMC Medical Informatics Decis. Mak., 2021)

VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records. - Philip Chung 005; Akshay Swaminathan; Alex J. Goodell; Yeasul Kim; S. Momsen Reincke; Lichy Han; Ben Deverett; Mohammad Amin Sadeghi; Abdel-Badih Ariss; Marc Ghanem; David Seong; Andrew A. Lee; et al. (CoRR, 2025)