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WS.III - Characterization and AI

 

WS.III

ADVANCED CHARACTERIZATION TECHNIQUES and AI APPLICATIONS in BIOMEDICAL APPLICATIONS

18 September

Co-organized with:
Mediterraneadiies eccellenza FSC UNIRC MIN.SALUTE UNIRC

WORKSHOP COMMITTEE: 

Giuliana FAGGIO & Giacomo MESSINA, University "Mediterranea" of Reggio Calabria

The rapid advancements in nanomedicine are being propelled by cutting-edge characterization techniques and the transformative power of artificial intelligence (AI).
This interdisciplinary workshop aims to highlight the pivotal role of advanced characterization techniques and artificial intelligence in shaping the future of biomedical research.

Structured into four thematic sessions, the program will explore a broad spectrum of emerging topics in the biomedical field. These include the use of state-of-the-art methods to investigate biomaterials at the nanoscale, recent developments in self-assembling systems and biomaterials, and innovative nanotechnological strategies tocombat recurrent and resistant biofilm-associated infections using antimicrobialnanoparticles. Additionally, the workshop will explore the transformative impact of AI in biomedical applications, with special focus on medical imaging.

Bringing together researchers in materials science, nanotechnology, and AI, this workshop will serve as a catalyst for interdisciplinary dialogue, fostering collaboration and sparking innovation at the forefront of biomedical advancements.

The symposium is funded by the project CALabria HUB per Ricerca Innovativa ed Avanzata (CAL.HUB.RIA) funded by Piano Operativo Salute-Traiettoria 4 “Biotecnologie, Bioinformatica e Sviluppo Farmaceutico”.

 
18 September
09:00 - 10:30
Advanced Characterization Techniques in biomaterials at nanoscale
WS.III.1 - TT.V.A
Chairs: Giacomo MESSINA, University "Mediterranea" of Reggio Calabria | Caterina Maria TONE, University of Calabria

A deep understanding of biomaterials at the nanoscale is essential for driving advancements in biomedical research and innovative therapies. Cutting-edge characterization techniques, such as correlative microscopy and spectroscopy, offer unparalleled precision in analyzing the structural, chemical, and mechanical properties of biomaterials. These insights are crucial for assessing their behavior, functionality, and interactions within biological systems. Furthermore, nanomechanical characterization techniques enable precise measurement of key mechanical properties, such as stiffness and elasticity-critical for designing biomaterials that closely mimic natural tissue behavior.
In this session, the talks will unveil how the innovative uses of these techniques are revolutionizing the field of nanobiomechanical characterization.

Supported by: Fondo per lo Sviliuppo e la Coesione and Ministero della Salute
FSC MionSalute
WS.III.1.1
TT.V.A.1
Cristina FLORS - CV
Madrid Institute for Advanced Studies in Nanoscience (IMDEA Nanociencia), Spain
Advanced microscopy to understand the interactions between bacteria and nanomaterials
FLORS Cristina  
WS.III.1.2
TT.V.A.2
Loredana DE BARTOLO - CV
National Research Council of Italy, Institute on Membrane Technology, CNR-ITM
Bioinspired Multifunctional Membrane Systems for Biomedical Applications
DE BARTOLO Loredana  
WS.III.1.3
TT.V.A.3
Leda LACARIA - CV
Aix-Marseille University | CNRS, IBDM, Aix-Marseille University UMR 7288, Marseille, France
Cell softening and cytoskeleton organization in tumorigenesis
LACARIA Leda  
WS.III.1.4
TT.V.A.4
Simona SALERNO - CV
CNR-ITM
Innovative Composite Membranes and Organotypic Membrane Systems for Tissue Engineering and Repair
SALERNO Simona  
 
11:30 - 13:00
Biomaterials and self-assembling systems
WS.III.2 - TT.VI.A
Chairs: Giuliana FAGGIO, University "Mediterranea" of Reggio Calabria | Maria Penelope DE SANTO, University of Calabria

Biomaterials and self-assembling systems are revolutionizing the biomedical landscape, offering innovative solutions for tissue engineering, drug delivery, and regenerative medicine. Advances in biomaterials design are enabling the development of highly biocompatible and functional materials that seamlessly integrate with biological systems, with potential applications extending beyond medicine. At the same time, self-assembling systems exploit the principles of molecular organization to create dynamic and responsive nanostructures opening new possibilities for smart biomaterials with tailored properties.
This session will feature discussions on these breakthroughs, showcasing their impact on the next generation of biomedical applications.

The session is organized in the framework of the PRIN 2022 PNRR Project P2022HM5E4 “Chirality induction in water based self-assembling materials” funded by the European Union - Next Generation EU.

II SESSIONE UNIRC

WS.III.2.1
TT.VI.A.1
Antonella BARONE - CV
University Magna Graecia of Catanzaro
Self-Assembling plant-derived Nanovesicles: A Sustainable Platform for Regenerative therapy
BARONE Antonella  
WS.III.2.2
TT.VI.A.2
Salvatore PANZA - CV
University Magna Graecia of Catanzaro
From Advanced Characterization to Targeted Delivery: Extracellular Vesicles for Precision Glioblastoma Treatment
PANZA Salvatore  
WS.III.2.3
TT.VI.A.3
Tanzeel UL REHMAN
University Mediterranea of Reggio Calabria
Comparative µ-Raman Analysis of Plant- and Human-Derived Extracellular Vesicles
UL REHMAN Tanzeel  
 WS.III.2.4
TT.VI.A.4
Federica CIUCHI - CV
CNR-Nanotec
Chirality amplification in spherically confined chromonics
CIUCHI Federica 2025  
WS.III.2.5
TT.VI.A.5
Lorenza SPINA - CV
University of Calabria | CNR-Nanotec
Biocompatible Sensors based on Chromonic Materials
SPINA Lorenza  
 
14:00 - 15:30
Antimicrobial Nanoparticles as future challenge in management of recurrent/resistant Biofilm-Associated Infection
WS.III.3 - TT.VII.A
Chairs: Valentina VENUTI & Cinzia Anna VENTURA, University of Messina

The symposium on Antimicrobial Nanoparticles as future challenge in management of recurrent/resistant Biofilm-Associated Infection is a targeted thematic session dedicated to topics which fall in the framework of the PRIN 2022 project entitled “Future challenges in management of recurrent/resistant Infection: development of antimicrobial Nanoparticulate systems and physical-chemical investigation of their Interactions with biofilm-associated infection” (FINI), CUP: J53D23008880006, PNRR – Mission 4, Component 2, Investment 1.1 – PRIN 2022 Call for Proposals - Directorial Decree No. 104 of 02-02-2022, funded by the European Union - Next Generation EU.

In this session, featuring presentations and interactive discussions that delve into the current challenges in the design and characterization of novel therapeutic systems based on antimicrobial nanoparticles (NPs), capable of eradicating biofilm-associated infections without cytotoxicity and side effects, will be addressed. Particular emphasis will be paid to the multiple viewpoints related to most advanced drug-loaded nanoplatforms employed for the eradication of biofilms produced by selected pathogen microorganisms, passing from technological aspects and design to their comprehensive physicochemical and morphological characterization.

Topics will encompass, in particular, synthesis techniques, pre-formulation studies, structural/dynamical characterizations and anti-bacterial/anti-biofilm assays, of newly synthesized anti-biofilm nanoparticulate systems, with the aim to offer a comprehensive scenario of the current advancements and targeted delivery mechanisms which propel their efficacy against resistant microbial communities.

The ultimate goal will be to foster a deeper knowledge of almost unknown processes related to biofilm-nanoplatform interactions and to provide a comprehensive overview of the state-of-art in view of developing novel nanoparticulate carriers, loading antimicrobial and natural anti-inflammatory agents, for innovative multi-drug therapies.

III SESSIONE UNIRC

WS.III.3.1
TT.VII.A.1
Federica DE GAETANO - CV
University of Messina
Study of host-guest interaction of baicalin/sulfobutylether-β-cyclodextrin inclusion complex
DE GAETANO Federica  
WS.III.3.2
TT.VII.A.2
Federica DE GAETANO - CV & Giuseppe PALADINI - CV
University of Messina
Development of Baicalin-loaded chitosan/cyclodextrin nanoparticles for the treatment of bacterial infections
DE GAETANO Federica PALADINI Giuseppe  
WS.III.3.3
TT.VII.A.3
Giuseppe PALADINI - CV
University of Messina
Baicalin/sulfobutylether-β-cyclodextrin inclusion complexes for advanced drug delivery applications: a physico-chemical characterization through spectroscopic and computational methods
PALADINI Giuseppe  
WS.III.3.4
TT.VII.A.4
Lorenzo PISTORINO - CV
University of Messina
Physico-chemical characterization of Baicalin-loaded Chitosan/SBE-β-CD nanoparticles through conventional and 2D correlation spectroscopic approaches
PISTORINO Lorenzo  
WS.III.3.5
TT.VII.A.5
Cinzia LOMBARDO - CV
University of Catania
SBE-β-CD as an effective carrier for baicalin: toward new formulations for biofilm-associated infections
LOMBARDO Cinzia  
    
16:00 - 17:30
Artificial Intelligence in biomedical applications
WS.III.4 - TT.VIII.A
Chairs: Giuliana FAGGIO & Giacomo MESSINA, University "Mediterranea" of Reggio Calabria
In this session, the workshop will examine the impact of Artificial Intelligence (AI) in biomedical applications, with special focus on medical imaging. AI-driven tools—particularly machine learning and deep learning algorithms—are revolutionizing image acquisition, analysis, and interpretation in fields such as radiology, pathology, and diagnostic imaging. These technologies are enhancing precision, enabling early disease detection, and supporting clinical decision-making through automated and data-driven approaches. On the other hand, AI raises concerns about the security and privacy of medical data processing. As AI continues to evolve, its integration into biomedical applications promises to transform the future of healthcare, making it more efficient, precise, and accessible.
Supported by: Fondo per lo Sviliuppo e la Coesione and Ministero della Salute
FSC MionSalute
WS.III.4.1
TT.VIII.A.1
Gianluca LAX - CV
University "Mediterranea" of Reggio Calabria
Artificial Intelligence in medical data processing: data privacy concerns and solutions
LAX Gianluca  
WS.III.4.2
TT.VIII.A.2
Filippo LAGANÀ - CV
University Magna Graecia of Catanzaro
Standardized Acquisition and Preprocessing of Brain MRI for Parkinson’s Disease Assessment: From DICOM Imaging to AI-Ready Data
LAGANA Filippo  
WS.III.4.3
TT.VIII.A.3
Danilo PRATTICÒ - CV
University "Mediterranea" of Reggio Calabria
Multimodal Attention-Based Architecture for Parkinson’s Disease Classification from Brain MRI and Clinical Data
PRATTICO Danilo  
WS.III.4.4
TT.VIII.A.4
Eugenio VOCATURO - CV
NANOTEC National Research Council
Next-Generation AI Frameworks for Accurate and Interpretable Medical Imaging
VOCATURO Eugenio  
 

 

 
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