Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Salvatore Pasta

Docenti di ruolo di IIa fascia

University of Palermo

Italy

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Italy

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Collaborators (7)

Carmela Rita Balistreri

Associate Professor

University of Palermo

ITALY

View details

Mona Eskandari

Assistant Professor

University of California, Riverside

UNITED STATES

View details

Louise M. Jennings

University of Leeds

UNITED KINGDOM

View details

Matthias Siepe

Director of the department

University Hospital of Bern

SWITZERLAND

View details

John Mulvihill

Associate Professor in Biomedical Engineering

University of Limerick

IRELAND

View details

Nele Famaey

Research Professor

KU Leuven

BELGIUM

View details

Caterina Gandolfo

Clinical Assistant Professor of Medicine Director of Interventional Cardiology Unit Director of Structural Heart Disease Transcatheter Interventions

Istituto Mediterraneo per i Trapianti e Terapie ad Alta Specializzazione

ITALY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Salvatore Pasta

Research Interests

Make your next move.

Explore related searches

Articles (20)

Artificial Intelligence in Aorta Aneurysm Management: Translational Applications and Limits

Fully coupled patient-specific fluid–structure interaction modeling of post-TAVI hemodynamics compared with echocardiographic measurements

Erratum: “Credibility assessment of patient-specific modeling in transcatheter aortic valve implantation. I. A population-based validation of patient-specific modeling” [APL Bioeng. 9, 046101 (2025)]

Erratum: “Credibility assessment of patient-specific modeling in transcatheter aortic valve implantation—Part 2: Uncertainty quantification and sensitivity analysis” [APL Bioeng. 9, 046102 (2025)]

Leaflet resection improves valve expansion and hemodynamic performance in redo TAVI with balloon- and self-expanding transcatheter heart valve configurations

TAVI-TEC: an AI-based tool for procedural planning of transcatheter aortic valve implantation

Predictive simulation of coil mechanics uncovers shape-driven determinants of endovascular coiling efficacy in intracranial aneurysms

AI-based Framework for Automated Segmentation and Surgical Decision Support in Ascending Thoracic Aortic Aneurysm

Enhancing Surgical Strategy for Raghib Syndrome by Virtual and Augmented Reality Tools

An In Silico Patient-Specific Computational Framework for a Tissue-Engineered Pulmonary Valve Using Fluid-Structure Interaction Analysis

Personalized computational hemodynamic analysis in transcatheter aortic valve: investigation of long-term degeneration

Intra-annular self-expanding or balloon-expandable TAVI in small annuli: the NAVULTRA registry

Personalized tricuspid valve modeling predicts regurgitation biomechanical repair and double‑orifice flow

Community challenge towards consensus on characterization of biological tissue: C4Bio’s first findings

Haemodynamic Performance of Transcatheter Heart Valve in Bileaflet Mechanical Valve: An In-vitro Study

Credibility assessment of patient-specific modeling in transcatheter aortic valve implantation. I. A population-based validation of patient-specific modeling

Credibility assessment of patient-specific modeling in transcatheter aortic valve implantation—Part 2: Uncertainty quantification and sensitivity analysis

Credibility Assessment of the Patient-Specific Modeling of the Aneurysmal Ascending Thoracic Aorta: Verification, Validation and Uncertainty Quantification

Non-Invasive Monitoring of Transcatheter Heart Valve Using Photoplethysmography and Machine Learning

Analysis of the Second Derivative of the PPG Signal as Indicator of Vascular Aging

Collaborators (7)

Carmela Rita Balistreri

Mona Eskandari

Louise M. Jennings

Matthias Siepe

John Mulvihill

Nele Famaey

Caterina Gandolfo

Make your next move.