Publications by authors named "A Zanoni"
Article Synopsis
- Non-invasive simulations for coronary hemodynamics enhance clinical decision-making and outcomes for patients with coronary artery disease, but existing methods often overlook individual patient differences and uncertainties in data.
- The study introduces an uncertainty-aware pipeline that personalizes coronary flow simulations and predicts clinical outcomes with greater accuracy by integrating patient-specific coronary flows and addressing data uncertainties.
- Utilizing advanced statistical methods, including adaptive Markov Chain Monte Carlo sampling and a novel combination of multi-fidelity Monte Carlo estimation, the framework demonstrates improved precision and reduced uncertainty in estimating cardiac functions and coronary flows compared to traditional methods.
Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniques.
Comput Methods Appl Mech Eng
September 2024
We study the problem of multifidelity uncertainty propagation for computationally expensive models. In particular, we consider the general setting where the high-fidelity and low-fidelity models have a dissimilar parameterization both in terms of number of random inputs and their probability distributions, which can be either known in closed form or provided through samples. We derive novel multifidelity Monte Carlo estimators which rely on a shared subspace between the high-fidelity and low-fidelity models where the parameters follow the same probability distribution, i.
View Article and Find Full Text PDFA probabilistic neural twin for treatment planning in peripheral pulmonary artery stenosis.
Int J Numer Method Biomed Eng
May 2024
The substantial computational cost of high-fidelity models in numerical hemodynamics has, so far, relegated their use mainly to offline treatment planning. New breakthroughs in data-driven architectures and optimization techniques for fast surrogate modeling provide an exciting opportunity to overcome these limitations, enabling the use of such technology for time-critical decisions. We discuss an application to the repair of multiple stenosis in peripheral pulmonary artery disease through either transcatheter pulmonary artery rehabilitation or surgery, where it is of interest to achieve desired pressures and flows at specific locations in the pulmonary artery tree, while minimizing the risk for the patient.
View Article and Find Full Text PDFProducing backbone degradable copolymers via free-radical copolymerization is a promising, yet challenging method to develop more sustainable materials for many applications. In this work, we present the copolymerization of 2-methylen-1,3-dioxepane (MDO) with crotonic acid derivative esters. MDO can copolymerize by radical ring-opening polymerization incorporating degradable ester moieties in the polymer backbone, although this can often be difficult due to the very unfavorable reactivity ratios.
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