Sanjay Pant

Associate Professor

Swansea University

United Kingdom

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Dr. Sanjay Pant is an Associate Professor at Swansea University, UK. His research areas include medical device reliability, ion channel kinetics, vascular biology, and machine learning applications in medical diagnostics. He has recently published articles addressing in silico clinical trials, modeling of vascular tone, and novel approaches to understanding soft tissue mechanics.

Articles (15)

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (7)

Alberto Coccarelli

Lecturer

Swansea University

UNITED KINGDOM

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Alberto García

Professor

Universitat Politècnica de Catalunya

SPAIN

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Ankush Aggarwal

Senior Lecturer

University of Glasgow

UNITED KINGDOM

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Perumal Nithiarasu

Professor

Swansea University

UNITED KINGDOM

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GIULIA LURAGHI

Assistant Professor

Politecnico di Milano

ITALY

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Chung-Hao Lee

UNITED STATES

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Osama Harraz

Assistant Professor, Tenure Track

University of Vermont

UNITED STATES

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Sanjay Pant

Research Interests

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Articles (15)

Toward trustworthy medical device in silico clinical trials: a hierarchical framework for establishing credibility and strategies for overcoming key challenges

Quantifying the efficacy of voltage protocols in characterising ion channel kinetics: A novel information‐theoretic approach

On the Ca2＋ elevation in vascular endothelial cells due to inositol trisphosphate-sensitive store receptors activation: A data-driven modeling approach

A Bayesian constitutive model selection framework for biaxial mechanical testing of planar soft tissues: Application to porcine aortic valves

Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: Application to planar soft tissues

A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure

A new model for evaluating pressure-induced vascular tone in small cerebral arteries

Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices.

Multiscale modelling of Potts shunt as a potential palliative treatment for suprasystemic idiopathic pulmonary artery hypertension: a paediatric case study

A framework for incorporating 3D hyperelastic vascular wall models in 1D blood flow simulations

An Information-Theoretic Framework for Optimal Design: Analysis of Protocols for Estimating Soft Tissue Parameters in Biaxial Experiments

A proof of concept study for machine learning application to stenosis detection

Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database

A physiologically realistic virtual patient database for the study of arterial haemodynamics

Beyond Newton: A New Root-Finding Fixed-Point Iteration for Nonlinear Equations

Collaborators (7)

Alberto Coccarelli

Alberto García

Ankush Aggarwal

Perumal Nithiarasu

GIULIA LURAGHI

Chung-Hao Lee

Osama Harraz

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