S-BOMM identifies robust solutions via cross-model consistency in optimization problems with unranked-fidelity models, backed by probabilistic bounds and empirical tests.
Hawkins-Daarud, A
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
unclear 1representative citing papers
A roadmap is outlined for digital twins in coronary artery disease that combine mathematical models with patient data through assimilation and probabilistic models to estimate wall shear stress and support clinical decisions for preventing infarcts.
citing papers explorer
-
A Consistency-Centric Approach to Set-Based Optimization with Multiple Models of Unranked Fidelity
S-BOMM identifies robust solutions via cross-model consistency in optimization problems with unranked-fidelity models, backed by probabilistic bounds and empirical tests.
-
Digital Twins in Coronary Artery Disease: A Mathematical Roadmap
A roadmap is outlined for digital twins in coronary artery disease that combine mathematical models with patient data through assimilation and probabilistic models to estimate wall shear stress and support clinical decisions for preventing infarcts.