Funded Projects
INTELLI-MI
Status: Active
Duration: Oct 2024 - Apr 2027
PI: Gloria Menegaz
People: Silvia Francesca Storti, Ilaria Boscolo Galazzo, Lorenza Brusini
Reference Code:
Partners: RIR Tech4Life, InnovatiVE
Funding: € 378'506.20 (out of € 2'557'022.54)
Description: The project presented by the RIR Tech4Life aims, through the integration of advanced intelligent technologies, to improve the efficiency and sustainability of the healthcare sector while ensuring personalized and secure solutions to enhance both the patient experience and the efficiency of healthcare facilities. Thanks to close collaboration among nine companies from the Veneto region and the Universities of Padua, Verona, and Ca’ Foscari of Venice, intelligent systems will be developed at various scales of intervention — covering the entire spectrum from the micro level (omics, molecular biology) to the macro level (information systems, robotics) — without neglecting regulatory aspects and compliance with current standards.
Funded Agency: Regione Veneto - PR Veneto FESR 2021-2027
AI4HEALTH: empowering neurosciences with eXplainable AI methods
Status: Active
Duration: Jun 2023 - Ongoing
PI: Gloria Menegaz
People: Silvia Francesca Storti, Ilaria Boscolo Galazzo, Lorenza Brusini
Reference Code: 202292PHR2
Partners: Dept. of Neuroscience at University Rita Levi Montalcini of Turin
Funding: € 258'872.00
Description: Part of AI4BRAVE: AI for modeling of the Brain-Heart Axis in aging. The aim of this project is to contribute to the decryption and modeling of the aging process by focusing on a specific aspect, the brain-heart axis, and relying on XAI as the enabling technology. This is a hot topic that has only recently started to be investigated, mainly in vascular disorders. The availability of large amount of multi-modal data (novel magnetic resonance imaging sequences, clinical, behavioral and genetic data) on the same cohorts and the substantially increased computational power open new perspectives by enabling large scale studies as well as the possibility to mine hidden factors that only advanced AI methods might reveal.
Funded Agency: MIUR D.M. 737/2021 (PRIN)
AntIAGING: Artificial Intelligence for Healthy Aging
Status: Active
Duration: Jan 2023 - Ongoing
PI: Gloria Menegaz
People: Ilaria Boscolo Galazzo, Lorenza Brusini
Reference Code: 1695-0009-553-20
Partners: Dept. of Neuroscience at University Rita Levi Montalcini of Turin, EB Neuro S.p.A, CENTAI S.p.A
Funding:
Description: Aging and artificial intelligence (AI) are key concepts in today’s socio-economic context. Aging is accompanied by structural and functional degeneration that affects quality of life. The goal of AntIAGING is to contribute to the understanding and modeling of this process, focusing on the heart–brain axis. Cardiovascular and neurodegenerative diseases are among the leading causes of death in aging populations and have the greatest socio-economic impact. It is now evident that these conditions are closely connected, making the study of their interactions one of the central topics in biomedical research. To identify characteristic patterns of the aging process, factors derived from brain imaging (neuroimaging) and genetic determinants from omics data will be analyzed and integrated using explainable AI (XAI) methods, which make it possible to decode the behavior of computational architectures and interpret their results. AntIAGING is promoted by a multidisciplinary consortium including the University of Turin, CENTAI Spa, and EBNeuro Spa — leading companies in the fields of AI and biomedical instrumentation — ensuring the exploitation and practical application of the project outcomes.
Funded Agency: PR Veneto FSE+ 2021-2027
Website: https://www.tech4life.it/news/iniziativaantiaging-artificial-intelligence-for-healthy-aging/
MNESYS
Status: Active
Duration: Nov 2022 - Dec 2025
PI: Our group participates in the MNESYS Extended Partnership on Neuroscience (Spoke 2), funded under the Italian PNRR framework.
People: Silvia Francesca Storti (task leader in WP4-Spoke2), Gloria Menegaz, Ilaria Boscolo Galazzo, Nicola Valè, Ilaria Siviero, Edoardo Paolini
Reference Code: DN. 1553 11.10.2022.
Partners:
Funding: € 24'000.00 + 2 Funded Research Fellowships
Description: A multiscale integrated approach to the study of the nervous system in health and disease (MNESYS) (DN. 1553 11.10.2022) supported by #NEXTGENERATIONEU (NGEU). Spoke 2, WP4. Addressing neuronal dynamics and neuronal plasticity with neurostimulation and fast imaging technologies. Objectives: integrate multi-modal imaging technologies for brain connectomics into medically interpretable AI models and develop connectivity-based machine learning algorithms to address neuronal plasticity in health and disease for the design of personalized treatments. The WP foresees an advance from TRL1 (begin) to TRL3 (end).
Funded Agency: MIUR-NRRP
Website: https://tto.mnesys.eu/it/mnesys
FISM
Status: Active
Duration: Sept 2024 - Aug 2026
PI: Marialuisa Gandolfi
People: Silvia Francesca Storti, Nicola Valè, Ilaria Siviero
Reference Code: 2023/R-Multi/010
Partners: Dept. of Neuroscience and Rehabilitation at University of Ferrara
Funding: € 240'600.00
Description: The effectiveness of combining a home-based Digital motor Telerehabilitation program with conventional therapy in Progressive Multiple Sclerosis: a multicentre, randomized controlled trial. Our group is responsible of wearable EEG and IMU-Based assessment of Mental Workload During Dual-Task Performance (iTUG) in PwMS at Units 1 and 2.
Funded Agency: Fondazione Italiana Sclerosi Multipla (FISM)
Brain-RESTORE
Status: Closed
Duration: Nov 2023 - Nov 2024
PI: Silvia Francesca Storti
People: Nicola Valè, Ilaria Siviero, Ettore Cinquetti
Reference Code: 2022K4EJRM
Partners:
Funding: € 38'900.00
Description: Brain-connectivity based computer interfaces: An enhanced technology for restoring motor function in stroke survivors. This research was supported by the funding initiative of the University of Verona, Ricerca di Base 2022, for projects positively evaluated in the Prin call but not funded
Funded Agency: Ricerca di Base, UniVR
OPERA
Status: Closed
Duration: 2021 - 2022
PI: Davide Quaglia
People: Silvia Francesca Storti, Gloria Menegaz, Ilaria Siviero, Ettore Cinquetti
Reference Code:
Partners: Department of Computer Science (University of Verona)
Funding: € 100'000.00
Description: Osservazione dei processi lavorativi, con garanzie oggettive di tutela della Privacy, per la prevenzione di Errori e situazioni di Rischio in maniera Automatica ai tempi di Industria 4.0 (OPERA 4.0). Work Package: MA2 Intelligent systems
Funded Agency: Fondazione Cariverona
EDIPO
Status: Closed
Duration: 2020 - 2022
PI: Gloria Menegaz
People: Ilaria Boscolo Galazzo, Silvia Francesca Storti, Lorenza Brusini
Reference Code: 2023/R-Multi/010
Partners: Department of Computer Science (University of Verona), Imaging Genetics Center (IGC) of the University of Southern California (USC), French National Institute of Research in Informatics and Automation (INRIA)
Funding: € 180'000.00
Description: A computational solution for bringing neuroimaging genetic into translational research (EDIPO)
Funded Agency: Fondazione Cariverona