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William H Franceschi

Explore the profile of William H Franceschi including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 6
Citations 246
Followers 0
Related Specialties
Cardiology & Vascular Diseases
Biomedical Engineering
Science
Top 10 Co-Authors
Patrick M Boyle
Natalia A Trayanova
Michael J Murphy
Sohail Zahid
Joe B Hakim
Farhad Pashakhanloo
Edward J Vigmond
Saman Nazarian
Dongdong Deng
Joseph E Marine
Published In
Front Physiol
Chaos
Nat Biomed Eng
Cardiovasc Res
J Mol Cell Cardiol
Affiliations
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Recent Articles
1.
Assessment of arrhythmia mechanism and burden of the infarcted ventricles following remuscularization with pluripotent stem cell-derived cardiomyocyte patches using patient-derived models
Yu J, Liang J, Franceschi W, Huang Q, Pashakhanloo F, Sung E, et al.
Cardiovasc Res . 2021 Apr; 118(5):1247-1261. PMID: 33881518
Aims: Direct remuscularization with pluripotent stem cell-derived cardiomyocytes (PSC-CMs) seeks to address the onset of heart failure post-myocardial infarction (MI) by treating the persistent muscle deficiency that underlies it. However,...
2.
Computationally guided personalized targeted ablation of persistent atrial fibrillation
Boyle P, Zghaib T, Zahid S, Ali R, Deng D, Franceschi W, et al.
Nat Biomed Eng . 2019 Aug; 3(11):870-879. PMID: 31427780
Atrial fibrillation (AF)-the most common arrhythmia-significantly increases the risk of stroke and heart failure. Although catheter ablation can restore normal heart rhythms, patients with persistent AF who develop atrial fibrosis...
3.
New insights on the cardiac safety factor: Unraveling the relationship between conduction velocity and robustness of propagation
Boyle P, Franceschi W, Constantin M, Hawks C, Desplantez T, Trayanova N, et al.
J Mol Cell Cardiol . 2019 Jan; 128:117-128. PMID: 30677394
Cardiac conduction disturbances are linked with arrhythmia development. The concept of safety factor (SF) has been derived to describe the robustness of conduction, but the usefulness of this metric has...
4.
The Fibrotic Substrate in Persistent Atrial Fibrillation Patients: Comparison Between Predictions From Computational Modeling and Measurements From Focal Impulse and Rotor Mapping
Boyle P, Hakim J, Zahid S, Franceschi W, Murphy M, Prakosa A, et al.
Front Physiol . 2018 Sep; 9:1151. PMID: 30210356
Focal impulse and rotor mapping (FIRM) involves intracardiac detection and catheter ablation of re-entrant drivers (RDs), some of which may contribute to arrhythmia perpetuation in persistent atrial fibrillation (PsAF). Patient-specific...
5.
Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation
Boyle P, Hakim J, Zahid S, Franceschi W, Murphy M, Vigmond E, et al.
Front Physiol . 2018 May; 9:414. PMID: 29725307
Electrocardiographic mapping (ECGI) detects reentrant drivers (RDs) that perpetuate arrhythmia in persistent AF (PsAF). Patient-specific computational models derived from late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) identify all latent sites in...
6.
Sensitivity of reentrant driver localization to electrophysiological parameter variability in image-based computational models of persistent atrial fibrillation sustained by a fibrotic substrate
Deng D, Murphy M, Hakim J, Franceschi W, Zahid S, Pashakhanloo F, et al.
Chaos . 2017 Oct; 27(9):093932. PMID: 28964164
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, causing morbidity and mortality in millions worldwide. The atria of patients with persistent AF (PsAF) are characterized by the presence...