Silvia Renon
Email: 2817819r@student.gla.ac.uk
UK phone number: +44 7512620733
IT phone number: +39 327 1632391
https://orcid.org/0000-0002-2325-8771
Research title: A novel hybrid DCB + DES strategy for the treatment of coronary artery disease
Research Summary
My research interests are computational modelling, structural mechanics, drug transport, coronary artery disease and PCI.
Current research
Currently I am working as a PhD student at the University of Glasgow in the School of engineering, Biomedical department (JWSE). My work aims at creating an in silico analysis of Percutaneous Coronary Intervention (PCI) able to accurately reproduce this surgical procedure and study its effect on patients.
Past research
Funded by EUs Horizon 2020 research program my master thesis work was part of the INSIST (In Silico Clinical Trials for treatment of Acute Ischemic Stroke) project, a multidisciplinary and dynamic collaboration where I had the opportunity to work alongside researchers from all over Europe.
Publications
Journal publication:
Microcatheter tracking in thrombectomy procedures: a finite-element simulation study - Computer methods and programs in biomedicine, 27 March 2023
https://www.sciencedirect.com/science/article/pii/S0169260723001803
Drug Coated Balloons in Percutaneous Coronary Intervention: how can computational modelling help inform evolving clinical practice, Authors: Silvia Renon, Rafic Ramses, Ankush Aggarwal, Richard Good, Sean McGinty - In progress, to be submitted by May 2024
Conference Poster publications
Microcatheter tracking in thrombectomy procedures: a finite-element analysis and patient-specific comparison - Virtual Physiological Human (VPH), September 2022
https://vph-conference.org/
Supervisors
Grants
Mary Gibb Dunlop Scholarship from the University of Glasgow.
Conference
Attended
SoftMech Tissue workshop 7 - 9 June 2023
https://www.softmech.org/media/Media_968371_smxx.pdf
Future
European Society of Biomechanics (ESB) 2024, Edinburgh as a podium speaker
Teaching
Courses
Engineering for Biology 2 as Demonstrator and Marker.