Publications related to Heart transplantation

Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations

Alfio Quarteroni, Francesco Regazzoni, Luca Dede'

Cardiac digital twins provide a physics and physiology informed framework to deliver personalized medicine. However, high-fidelity multi-scale cardiac models remain a barrier to adoption due to their extensive computational costs. Artificial Intelligence-b ...

Nature Portfolio2024

Mechanisms and functions of protein S-acylation

Françoise Gisou van der Goot Grunberg, Laurence Gouzi Abrami, Francisco De Magalhães Sarmento R De Mesquita

Over the past two decades, protein S-acylation (often referred to as S-palmitoylation) has emerged as an important regulator of vital signalling pathways. S-Acylation is a reversible post-translational modification that involves the attachment of a fatty a ...

Berlin2024

The role of computational methods in cardiovascular medicine: a narrative review

Alfio Quarteroni, Luca Dede', Christian Vergara, Stefano Pagani

Background and Objective: Computational models of the cardiovascular system allow for a detailed and quantitative investigation of both physiological and pathological conditions, thanks to their ability to combine clinical-possibly patient-specific-data wi ...

Ame Publishing Company2024

Predicting type 2 diabetes risk before and after solid organ transplantation using polygenic scores in a Danish cohort

Jacques Fellay, Christian Axel Wandall Thorball

Type 2 diabetes mellitus (T2DM) can be multifactorial where both genetics and environmental factors play a role. We aimed to investigate the use of polygenic risk scores (PRS) in the prediction of pre-transplant T2DM and post-transplant diabetes mellitus ( ...

Lausanne2023

lifex-cfd: An open-source computational fluid dynamics solver for cardiovascular applications

Alfio Quarteroni, Luca Dede', Marco Fedele

Computational fluid dynamics (CFD) is an important tool for the simulation of the cardiovascular function and dysfunction. Due to the complexity of the anatomy, the transitional regime of blood flow in the heart, and the strong mutual influence between the ...

Amsterdam2023

Causal inference with recurrent and competing events

Mats Julius Stensrud, Pal Christie Ryalen, Matias Janvin

Many research questions concern treatment effects on outcomes that can recur several times in the same individual. For example, medical researchers are interested in treatment effects on hospitalizations in heart failure patients and sports injuries in ath ...

SPRINGER2023

Single-arm diagnostic electrocardiography with printed graphene on wearable textiles

Ata Jedari Golparvar

Stimulated by the COVID-19 outbreak, the global healthcare industry better acknowledges the necessity of innovating novel methods for remote healthcare monitoring and treating patients outside clinics. Here we report the development of two different types ...

ELSEVIER SCIENCE SA2023

Uncovering personalized glucose responses and circadian rhythms from multiple wearable biosensors with Bayesian dynamical modeling

Felix Naef, Nicholas Edward Phillips

Wearable biosensors and smartphone applications can measure physiological variables over multiple days in free-living conditions. We measure food and drink ingestion, glucose dynamics, physical activity, heart rate (HR), and heart rate variability (HRV) in ...

CELL PRESS2023

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Heart transplantation

Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations

Mechanisms and functions of protein S-acylation

The role of computational methods in cardiovascular medicine: a narrative review

Predicting type 2 diabetes risk before and after solid organ transplantation using polygenic scores in a Danish cohort

lifex-cfd: An open-source computational fluid dynamics solver for cardiovascular applications

A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart

Causal inference with recurrent and competing events

Single-arm diagnostic electrocardiography with printed graphene on wearable textiles

Uncovering personalized glucose responses and circadian rhythms from multiple wearable biosensors with Bayesian dynamical modeling

Impact of COVID-19 on long-term lung function in lung transplant recipients: A single-center retrospective cohort study

Graph Chatbot

Chat with Graph Search

The role of computational methods in cardiovascular medicine: a narrative review

A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart

Single-arm diagnostic electrocardiography with printed graphene on wearable textiles

Uncovering personalized glucose responses and circadian rhythms from multiple wearable biosensors with Bayesian dynamical modeling

Mechanisms and functions of protein S-acylation

Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations

lifex-cfd: An open-source computational fluid dynamics solver for cardiovascular applications

Predicting type 2 diabetes risk before and after solid organ transplantation using polygenic scores in a Danish cohort

Causal inference with recurrent and competing events

Impact of COVID-19 on long-term lung function in lung transplant recipients: A single-center retrospective cohort study