UNITesi

Università Campus Bio-medico di Roma: [419] Istituto

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Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 401 a 419 di 419
Istituto Anno di pubblicazione Titolo Autore file(s)
Università Campus Bio-medico di Roma 2025 Advancing AI in Healthcare Through Federated Continual Learning -
Università Campus Bio-medico di Roma 2025 Prefrontal transcranial Direct Current Stimulation (tDCS) restores dopaminergic function and mitigates Alzheimer’s Disease-like deficits in Tg2576 mice -
Università Campus Bio-medico di Roma 2026 Beyond The Genome: Integrative Multi-omic Analysis Of Complex Traits Using Biobank Data -
Università Campus Bio-medico di Roma 2026 Development of green extraction techniques for the determination of bioactive molecules from plant matrices -
Università Campus Bio-medico di Roma 2026 Midbrain degeneration triggers astrocyte reactivity and tau pathology in experimental Alzheimer’s Disease -
Università Campus Bio-medico di Roma 2025 Human-Centred Design of Low-Impact Sensing and Affective Technologies in Healthcare -
Università Campus Bio-medico di Roma 2026 Supporting Dyslexic University Students using Artificial Intelligence and Virtual Reality -
Università Campus Bio-medico di Roma 2025 Design and Analysis of Cloud Edge Architectures for the Development and Deployment of Distributed AI Application in Health Domain -
Università Campus Bio-medico di Roma 2025 Deep Reinforcement Learning and Edge Computing for Type-1 Diabetes Management -
Università Campus Bio-medico di Roma 2026 Artificial Intelligence Applications to Lower Limb Rehabilitation Robotics -
Università Campus Bio-medico di Roma 2025 Analysis and Optimization of Innovative Solar-driven Electrochemical and Thermochemical Processes for Green Hydrogen Production -
Università Campus Bio-medico di Roma 2026 Enhancing Predictive Models in Lung Cancer with Unstructured EHR and Multi-Modal Data Fusion -
Università Campus Bio-medico di Roma 2026 Implementing machine-learning techniques to study inter-individual variability in fMRI-related brain cognitive functions -
Università Campus Bio-medico di Roma 2026 Artificial Intelligence for Medical Imaging and Neurological Rehabilitation -
Università Campus Bio-medico di Roma 2026 Towards meta-reinforcement learning-based computational phenotyping -
Università Campus Bio-medico di Roma 2025 Advancing Circular Economy Principles: Green Fuels Production and Sustainable Solvents Utilization -
Università Campus Bio-medico di Roma 2026 The Legal Dimension of Neurotechnologies Neurorights, cognitive self-determination and regulatory accountability -
Università Campus Bio-medico di Roma 2025 Wearable Technologies and Sensors for Enhanced Physiological Monitoring in Healthcare and Sports -
Università Campus Bio-medico di Roma 2026 COMPARISON BETWEEN TWO TYPES OF COMPLEX DRESSINGS IN THE APPROACH TO DIFFICULT WOUNDS: RANDOMIZED CLINICAL TRIAL IN SINGLE BLIND TO EVALUATE THE “WOUND ADVANCEMENT PROTOCOL” -
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 401 a 419 di 419
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Prodotti recenti

Machine-Learning Approaches For Deciphering The Human Editome

Epitranscriptomic modifications have emerged as a key mechanism in the dynamic regulation of gene expression, as well as transcript function, stability, and structure. This set of post-transcriptional biochemical modifications, defined as the epitranscriptome, is ubiquitous in all three domains of life and pervasive in human transcriptome. The interconversion of adenine to inosine, known as A-to-I RNA editing, carried out by the ADAR enzymes operating on dsRNAs, is the main mechanism by which...

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...

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Istituto
  • Università Campus Bio-medico di Roma419
Data di pubblicazione
  • 2020 - 2026223
  • 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...12
  • 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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  • embargoed38
  • no fulltext1