02 Contributo in Volume

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Carbon Nanoparticles in Breast Cell Imaging for CNN-Based Tumor Detection

In recent years, the intersection of Artificial Intelligence (AI) and fluorescence microscopy has reshaped biomedical imaging, enabling the scalable, automated, and high-precision analysis of complex cellular structures. In parallel, Carbon Dots (CDs) have emerged as promising nanomaterials for both imaging enhancement and modulation of cellular properties. In this study, we investigate the role of CDs in AI-based analysis, proposing a modular deep learning pipeline for the classification of ...

Long COVID and Parkinson’s Disease: A Telecommunication-Based Brain-Network Comparison

Emerging evidence suggests a potential link between Long COVID and neurological disorders, including Parkinson’s Disease (PD). This study explores brain-network alterations in Long COVID and PD patients through a novel telecommunication-based brain model. Borrowing language and methods from telecommunications, we build a novel theoretical channel model for the brain network. By examining functional and structural brain connectivity through the proposed channel model, we aim to identify overla...

Governance and collaboration for impact

This chapter presents FOSSR as a research infrastructure network whose performance and societal relevance emerge from the interaction of three tightly interdependent system dimensions: governance architecture, constraint management, and impact generation. Section 13.2 frames FOSSR as a multi-stakeholder infrastructure operating through a “living architecture” model, in which values, participation, and institutional responsibilities are embedded in organizational design. Governance is describ...

Engagement e strategie digitali: l’uso dei social media negli Archivi di Stato italiani

La tradizionale funzione degli Archivi – conservare e descrivere – si sta evolvendo e, di conseguenza, la sfida archivistica contemporanea consiste nel superare il mero ruolo di preservazione dei documenti per attivare processi di significazione capaci di rendere la memoria storica un elemento attivo nella costruzione dell’immaginario comune contemporaneo prestando, però, attenzione al rischio di semplificazione e standardizzazione del messaggio che potrebbe compromettere la profondità storic...

Explainable Artificial Intelligence for Parkinson’s Disease

Parkinson’s disease (PD) is a complicated neurological condition that calls for a precise diagnosis as well as practical treatment plans. The present state of explainable artificial intelligence (XAI) treatments for Parkinson’s disease (PD) is examined in this literature review. In order to find the key aspects, different XAI approaches have been examined. Those approaches are generally used to improve the interpretability and transparency of AI models for Parkinson’s disease diagnosis and pr...

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