UNITesi

Università Campus Bio-medico di Roma: [413] Istituto

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Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 413
Istituto Anno di pubblicazione Titolo Autore file(s)
Università Campus Bio-medico di Roma 2026 AI-Powered Biomedical Sensing and Privacy-Enhancing Technologies: From Smart Insulin Pen Systems to Federated and Encrypted Frameworks -
Università Campus Bio-medico di Roma 2026 How Data Organization Shapes Neural Network Learning: Hierarchical Labels and Spectral Structure -
Università Campus Bio-medico di Roma 2026 Design and Development of Electronic Sensor Interfaces for Point-of-Care Devices: Bridging Research and Industrial Innovation -
Università Campus Bio-medico di Roma 2025 Prioritizing cibersecurity in resource-constrained environments: a framewoork for critical sectors -
Università Campus Bio-medico di Roma 2026 Strategies for Paediatric Overweight and Obesity: From Nutritional Education to Clinical Management. -
Università Campus Bio-medico di Roma 2026 “NUTRISTROKE”: the role of nutrition and body composition in post-stroke recovery -
Università Campus Bio-medico di Roma 2025 Salt stress response in Rice (Oryza sativa ssp. japonica): a focus on glutathione and sulphur metabolism -
Università Campus Bio-medico di Roma 2025 Multimodal AI to Unravel the Neurodevelopmental Cascade: From Early Movements to Advanced Communicative and Social Skills -
Università Campus Bio-medico di Roma 2025 Revolutionizing Elderly Home Care with AI Systems: Towards Smart Monitoring and Personalized Assistance in Rehabilitation Therapy -
Università Campus Bio-medico di Roma 2025 Integrate Pre-existing Knowledge in Biomedical Data Analysis with Graph Representation Learning -
Università Campus Bio-medico di Roma 2025 Exploring Artificial Intelligence Technologies for Automatic Speech Recognition in Voice Disorders -
Università Campus Bio-medico di Roma 2025 Pushing the boundaries of healthcare: AI-IoT solutions for a secure precise and explainable healthcare system -
Università Campus Bio-medico di Roma 2025 Design and development of organ-on-a-chip devices as in vitro models to reproduce the organ pathophysiology and validate new anticancer therapies -
Università Campus Bio-medico di Roma 2026 Knowledge-Grounded Machine Learning for Biomedical Domains: Extraction, Injection and Evaluation -
Università Campus Bio-medico di Roma 2026 Robotic-Assisted Transcranial Magnetic Stimulation: Development and Validation of Advanced Protocols for Precision Brain Stimulation -
Università Campus Bio-medico di Roma 2025 Development of new technological solutions in Otorhinolaryngology: from respiratory monitoring to prevention of otological disorders. -
Università Campus Bio-medico di Roma 2025 Exploring biological network structures: aquatic food webs and contact networks -
Università Campus Bio-medico di Roma 2026 From Human Cognition to Continual Learning: Neural Selectivity, Memory Consolidation and Dreaming -
Università Campus Bio-medico di Roma 2025 Study, design and implementation of customized digital support tools for students with dyslexia, using machine learning -
Università Campus Bio-medico di Roma 2025 From Biomolecular Interactions to Protein Networks: A Multiscale Modeling Study -
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 413
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Prodotti recenti

AI-Powered Biomedical Sensing and Privacy-Enhancing Technologies: From Smart Insulin Pen Systems to Federated and Encrypted Frameworks

Artificial Intelligence (AI) is transforming the biomedical domain by enabling intelligent sensing, data sharing, and decision support across connected environments. To truly integrate AI into healthcare, systems must be not only accurate and efficient but also trustworthy and privacy-preserving. This doctoral thesis proposes a unified framework that brings together three complementary paradigms — Edge Artificial Intelligence (Edge AI), Federated Learning (FL), and Fully Homomorphic Encryptio...

How Data Organization Shapes Neural Network Learning: Hierarchical Labels and Spectral Structure

Visual classification depends on two fundamental factors: image structure (the relationships encoded in pixel values) and categorical organization (the labels indicating what they depict). This thesis explores how these data properties shape neural network training and responses. First, I examine hierarchical label structures in visual datasets. While classification tasks are defined at a specific granularity, training on finer-grained labels can boost performance. I show that this benefit d...

Design and Development of Electronic Sensor Interfaces for Point-of-Care Devices: Bridging Research and Industrial Innovation

This thesis presents the development of compact and optimized electronic systems for portable electrochemical characterization, biosensing, and electrical stimulation, aiming to advance continuous, non-invasive, and personalized healthcare monitoring. The primary objective is to design and implement low-noise, high-performance electronic interfaces that enable reliable electrochemical sensing, impedance spectroscopy, and electrical stimulation in portable or point-of-care environments. Levera...

Prioritizing cibersecurity in resource-constrained environments: a framewoork for critical sectors

In the era of rapid digital transformation, cybersecurity has emerged as a critical concern across diverse sectors, particularly as interconnected systems grow increasingly complex. Low- and Middle-Income Countries (LMICs) face unique challenges in this landscape, including limited resources, weak institutional frameworks, and growing systemic vulnerabilities. This dissertation seeks to address critical gaps in the understanding and management of systemic cybersecurity risks, offering a novel...

Strategies for Paediatric Overweight and Obesity: From Nutritional Education to Clinical Management.

Childhood obesity is a chronic and multifactorial condition resulting from the complex interaction among genetic and environmental factors, family dynamics, lifestyle habits, and socioeconomic determinants. Its steadily increasing prevalence from the earliest stages of life calls for prevention and intervention strategies capable of targeting both eating behaviors and the psycho-physical factors that shape growth. Over the course of this PhD thesis, three projects were developed to counteract...

“NUTRISTROKE”: the role of nutrition and body composition in post-stroke recovery

Stroke represents one of the most pressing global health challenges, ranking as the second leading cause of death and the third leading cause of death and disability combined. Rehabilitation is a multidisciplinary process of care aimed at managing and reducing stroke-related impairments and optimizing functional recovery. Notably, even among patients with comparable baseline motor and cognitive function, some achieve worse outcome than others. This suggests that factors beyond initial neurolo...

Salt stress response in Rice (Oryza sativa ssp. japonica): a focus on glutathione and sulphur metabolism

Increasing soil salinization poses a significant challenge to global agriculture, necessitating the identification of crop varieties with enhanced salt tolerance. This study investigates the phenotypic and molecular salt-stress response of four Italian rice varieties, Baldo, Onice, Selenio, and Vialone Nano, showing dissimilar susceptibility to salinity, aiming to identify molecular traits related to plant tolerance toward soil salinization. Phenotypic evaluations revealed Baldo and Onice as ...

Multimodal AI to Unravel the Neurodevelopmental Cascade: From Early Movements to Advanced Communicative and Social Skills

This thesis explores the application of multimodal Artificial Intelligence (AI) to advance early diagnosis and understanding of Neurodevelopmental Disorders (NDD) within the framework of the neurodevelopmental cascade theory. NDD present significant diagnostic and therapeutic challenges due to their heterogeneity and overlapping symptoms, requiring new scalable and precise methodologies. By integrating AI across multiple domains and examining how motor, communicative, attentional, and socio-e...

Revolutionizing Elderly Home Care with AI Systems: Towards Smart Monitoring and Personalized Assistance in Rehabilitation Therapy

As the age of the global population increases, the demand for innovative and practical solutions to support elderly care has attracted significant interest. Recent advances in digital technologies and computational science offer promising opportunities to extend the continuum of care at patients’ homes. This dissertation investigates the potential role of artificial intelligence (AI) methods and technology can have in rehabilitation medicine. The hypothesis is that AI can provide solutions f...

Integrate Pre-existing Knowledge in Biomedical Data Analysis with Graph Representation Learning

Early Artificial Intelligence (AI) systems encoded domain-specific knowledge using knowledge representation techniques, such as expert systems. In contrast, modern AI paradigms like Deep Learning have thrived due to the abundance of data and computational resources, shifting toward a data-driven approach to decision-making. However, relying solely on this kind of approach can pose risks in certain fields, particularly in medicine and biomedical research where expert knowledge plays a crucial ...

Scopri
Istituto
  • Università Campus Bio-medico di Roma413
Data di pubblicazione
  • 2020 - 2026217
  • 2010 - 2019180
  • 2002 - 200916
Settore disciplinare
  • Settore ING-IND/34 - Bioingegneri...51
  • Settore MED/13 - Endocrinologia28
  • Settore MED/06 - Oncologia Medica26
  • Settore MED/26 - Neurologia24
  • Settore MED/33 - Malattie Apparat...14
  • Settore ING-INF/05 - Sistemi di E...11
  • Settore BIO/09 - Fisiologia9
  • Settore MED/09 - Medicina Interna9
  • Settore MED/19 - Chirurgia Plastica9
  • Settore AGR/15 - Scienze e Tecnol...8
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  • embargoed36
  • no fulltext1