Research is focused on the investigation of physio-pathological mechanisms and on the development of patient-specific and predictive healthcare. The methods applied include multiscale modeling, numerical simulation and medical image processing also including approaches based on artificial intelligence. The main fields of application are: cardiac electrophysiology; transcriptional/translational regulation of natural and synthetic gene expression; artificial kidney and hemodialysis (HD) therapy; biomedical image interpretation and diagnosis.
Our most recent research projects include:
- analysis of ADPKD progress by MR/CT image processing;
- tools for cardiac resynchronization therapy optimization;
- development of 3D patient-specific cardiac models from CT/MR/real time echocardiography;
- analysis of diffusion tensor imaging for cancer and genetic diseases;
- insights on atrial fibrillation through the integration of electrical rotors and fibrotic tissue analysis;
- effects of biological noise on gene circuit behavior;
- multilayer regulation of gene expression during phenotypic transition processes;
- quantification of the structural complexity of the brain in MR imaging by fractal analysis;
- augmented reality in robotic surgery for the kidney and prostate cancer;
- lung densitometry assessment with CT.
ERC Fields
- LS7_1 - Medical engineering and technology
- LS7_2 - Diagnostic tools (e.g. genetic, imaging)
- LS9_2 - Synthetic biology, chemical biology and bio-engineering
- PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
- PE6_13 - Bioinformatics, biocomputing, and DNA and molecular computation
- LS7_10 - Health services, health care research, medical ethics;
Scientific coordinator: Prof. Cristiana Corsi