Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. - Anirban Chaudhuri; Graham Pash; David A. Hormuth; Guillermo Lorenzo; Michael G. Kapteyn; Chengyue Wu; Ernesto A. B. F. Lima; Thomas E. Yankeelov; Karen Willcox (Frontiers Artif. Intell., 2023)

a priori uncertainty quantification of reacting turbulence closure models using Bayesian neural networks. - Graham Pash; Malik Hassanaly; Shashank Yellapantula (Eng. Appl. Artif. Intell., 2025)

Validating the predictions of mathematical models describing tumor growth and treatment response. - Guillermo Lorenzo; David A. Hormuth II; Chengyue Wu; Graham Pash; Anirban Chaudhuri; Ernesto A. B. F. Lima; Lois C. Okereke; Reshmi Patel; Karen Willcox; Thomas E. Yankeelov (CoRR, 2025)

TumorTwin: A python framework for patient-specific digital twins in oncology. - Michael G. Kapteyn; Anirban Chaudhuri; Ernesto A. B. F. Lima; Graham Pash; Rafael Bravo; Karen Willcox; Thomas E. Yankeelov; David A. Hormuth II (CoRR, 2025)

Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in Oncology. - Graham Pash; Umberto Villa; David A. Hormuth II; Thomas E. Yankeelov; Karen Willcox (CoRR, 2025)