UNITesi

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

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Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 321 a 340 di 413
Istituto Anno di pubblicazione Titolo Autore file(s)
Università Campus Bio-medico di Roma 2016 Valore prognostico del precondizionamento ischemico remoto coronarico in pazienti anziani in riabilitazione cardiologica -
Università Campus Bio-medico di Roma 2014 Cerebral hemodynamics and systemic endothelial function are impaired in metabolic diseases -
Università Campus Bio-medico di Roma 2017 Post-translational modifications of proteins and genetic polymorphisms associated to metabolic diseases -
Università Campus Bio-medico di Roma 2022 Study of brain plasticity in upper limb amputees with non-invasive brain stimulation techniques -
Università Campus Bio-medico di Roma 2019 A Mediterranean-pattern Meal Increases GLP-1 and Oxyntomodulin more than an energy-matched High Fiber Plant-based meal in Type-2 Diabetes patients: A Crossover, Randomized, Controlled Inpatient Physiology Study -
Università Campus Bio-medico di Roma 2013 Attenzione nello spazio 3D -
Università Campus Bio-medico di Roma 2017 Poly-Methyil- Metacrylate does not provide significant reinforcement to a cadaveric diaphyseal model undergoing bending stress -
Università Campus Bio-medico di Roma 2016 Signal Processing techniques and brain imaging in TMS EEG signals -
Università Campus Bio-medico di Roma 2017 Effetto dell'immunonutrizione in pazienti affetti da neoplasie periampollari e candidati ad intervento di duodenoencefalopancreasectomia -
Università Campus Bio-medico di Roma 2011 Ruolo di un nuovo supplemento dietetico nel trattamento della Sindrome da Disfunzione Lacrimale post LASIK -
Università Campus Bio-medico di Roma 2016 Cyber-Physical Security of SCADA Systems Against Physical Faults, Cyber Threats and Generic Malicious Attacks -
Università Campus Bio-medico di Roma 2013 Cereali nell'alimentazione umana come fonte di composti utili per il miglioramento e il mantenimento dello stato di salute. L'Avena come caso-studio -
Università Campus Bio-medico di Roma 2018 Cancer associated fibroblasts in colorectal cancer: a heterogeneous population leading to cancer migration and invasiveness -
Università Campus Bio-medico di Roma 2008 Mechatronic technologies for behavioral analysis -
Università Campus Bio-medico di Roma 2010 Fisiopatologia, diagnosi, qualità della vita, stadiazione e nuove strategie di trattamento della cheratocongiuntivite primaverile (VKC) -
Università Campus Bio-medico di Roma 2018 Biologically Active Phenolic Compounds in Fruits and Leaves of Cyclanthera pedata (L.) Schrab (caigua) and in related plant-derived Food Supplements -
Università Campus Bio-medico di Roma 2017 Design and control of a dexterous upper-limb prosthetic system -
Università Campus Bio-medico di Roma 2020 Investigating the prognostic meaning of frailty and sarcopenia definitions -
Università Campus Bio-medico di Roma 2017 Impatto del movimento di rotazione sulla patenza dei peduncoli vascolari: modello fisico ed applicazioni cliniche -
Università Campus Bio-medico di Roma 2023 Use of TMS-EEG to directly assess cerebral neurophysiology in healthy humans -
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 321 a 340 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