My name is Marta Pillitteri, and I earned a Bachelor's Degree in Biomedical Engineering from the University of Palermo. I then completed my Master's Degree with a focus on Biomechanics at Politecnico di Milano. 

Following my Master's, I gained hands-on experience as a Research Fellow at the I.R.C.C.S. Centro Cardiologico Monzino, where I continued to work on the subject matter of my Master's thesis, focusing on patient-specific coronary fluid dynamic simulations and CCTA image analysis for biomarker extraction. 

My current doctoral research, titled "An intelligent framework for coronary risk prediction: cardiac CT, artificial intelligence and numerical modelling", aims to develop a fully automated predictive pipeline for acute coronary syndrome. Current methods for assessing Coronary Artery Disease (CAD) primarily rely on invasive, costly, and risky procedures such as coronary angiography. The innovation of my project is the development of a non-invasive tool that integrates advanced biomechanical modelling and artificial intelligence to process morphological, hemodynamic, and radiomic biomarkers derived from CCTA, enabling a more accurate and earlier diagnosis of vulnerable plaques

Expertise

• Machine learning

• Computational fluid dynamics (Fluent)