UNITesi

Università degli Studi di Trieste: [3781] Istituto

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Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 3.781
Istituto Anno di pubblicazione Titolo Autore file(s)
Università degli Studi di Trieste 2026 Studio dello Scaffold Pirazinico per lo Sviluppo di Inibitori della Casein Chinasi 1δ -
Università degli Studi di Trieste 2026 SUPRAMOLECULAR NANOCOMPOSITE HYDROGELS FOR NERVE TISSUE REGENERATION -
Università degli Studi di Trieste 2026 Development and Characterization of Polycaprolactone Scaffolds Functionalized with Nano-Hydroxyapatite to Enhance Osteogenic Potential -
Università degli Studi di Trieste 2026 Polymeric Nanoparticles for Oral Delivery of a Chimeric Protein as a Vaccination Approach for the Treatment of Glypican-1-expressing Pancreatic Ductal Adenocarcinoma -
Università degli Studi di Trieste 2026 Machine Learning Methods for Clinical Decision Support: an analysis based on COVID-19 Data -
Università degli Studi di Trieste 2026 Esposizione per via aerea, contaminazione cutanea e assorbimento attraverso la pelle di arsenuro di gallio e altri metalli in dimensioni nanometriche. -
Università degli Studi di Trieste 2026 Bayesian inference of lineage evolution and molecular profiling in cancer and gene therapy -
Università degli Studi di Trieste 2026 Bayesian and computational modelling for evolutionary cancer dynamics: from coarse dynamics to single-cell resolution -
Università degli Studi di Trieste 2026 Computational modelling of the interplay between genetic and epigenetic in tumour evolution -
Università degli Studi di Trieste 2026 Protein Language Models: Interpretability and Applications -
Università degli Studi di Trieste 2026 VALIDATION OF GUIDELINE-ALIGNED LARGE LANGUAGE MODELS FOR SAFE CLINICAL DECISION MAKING IN DIGESTIVE DISEASES -
Università degli Studi di Trieste 2026 UTILIZZO DI NANOFIBRE DI POLICAPROLATTONE RIVESTITE DI COLLAGENE PER MIGLIORARE LA GUARIGIONE DI FERITE DIFFICILI -
Università degli Studi di Trieste 2026 Unveiling the Complexity of Substance Use Disorder: Insights from a Multimethod Investigation -
Università degli Studi di Trieste 2026 Error mitigation and performance trade-offs in scaling variational quantum algorithms -
Università degli Studi di Trieste 2026 NARRATIVE PRODUCTION IN PEOPLE WITH ACQUIRED BRAIN INJURIES: FROM ASSESSMENT TO TREATMENT OPPORTUNITIES -
Università degli Studi di Trieste 2026 A Computational Study of Optical Properties of Nonaromatic Proteins: The Case of α3C -
Università degli Studi di Trieste 2026 Cosmologia Fondamentale con la Foresta Lyman α: Rilevare il Fotone Oscuro come particella di Materia Oscura e Misurare l'Espansione dell'Universo -
Università degli Studi di Trieste 2026 HERMES Pathfinder and SpIRIT: From Technology Development to Operations, Data Analysis, and a Future Mission -
Università degli Studi di Trieste 2026 Intrappolamento, caricamento e imaging di array di atomi di itterbio fermionici. -
Università degli Studi di Trieste 2026 Esplorazione del processo di ossidazione di nanocluster metallici selezionati in massa su grafene e ossidi -
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 3.781
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Prodotti recenti

Studio dello Scaffold Pirazinico per lo Sviluppo di Inibitori della Casein Chinasi 1δ

La Casein Kinase 1 (CK1) è una chinasi Ser/Thr che comprende sei isoforme. Il progetto di tesi si concentra sull’isoforma δ (CK1δ), la quale svolge un ruolo cruciale in numerosi processi fisiologici. La deregolazione dell’attività di CK1δ è stata associata a diverse condizioni patologiche, tra cui tumori, disturbi del ritmo circadiano e malattie neurodegenerative. In particolare, CK1δ è implicata nella malattia di Alzheimer (AD), nel morbo di Parkinson (PD) e nella sclerosi laterale amiotrofi...

SUPRAMOLECULAR NANOCOMPOSITE HYDROGELS FOR NERVE TISSUE REGENERATION

The regeneration of nerve tissue remains one of the most formidable challenges in modern biomedicine due to the limited self-repair ability of neurons and the mechanical and electrical complexity of neural environments. This work explores an integrated strategy combining functionalized carbon nanotubes (f-CNTs) and self-assembling peptide hydrogels to create multifunctional nanocomposite scaffolds that mimic the extracellular matrix, while enabling electrical stimulation and biochemical suppo...

Development and Characterization of Polycaprolactone Scaffolds Functionalized with Nano-Hydroxyapatite to Enhance Osteogenic Potential

Nanotechnology has revolutionized the field of regenerative medicine, enabling the creation of biomaterials capable of interacting with living tissues at the molecular and cellular level. Within this framework, bone tissue engineering has emerged as one of the most promising applications, offering innovative alternatives to traditional grafts for the repair of complex bone defects. The present doctoral research aimed to develop, characterize, and biologically validate a new generation of bioa...

Polymeric Nanoparticles for Oral Delivery of a Chimeric Protein as a Vaccination Approach for the Treatment of Glypican-1-expressing Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal forms of cancer, characterized by strong resistance to conventional therapies and a poor prognosis, with frequent relapse and metastasis even after surgical resection and/or standard chemotherapy. Cancer vaccines are emerging as innovative immunotherapeutic approaches, particularly when proposed as adjuvants to be combined with existing treatments. Although vaccines are traditionally administered via parenteral r...

Machine Learning Methods for Clinical Decision Support: an analysis based on COVID-19 Data

Between the years 2020 and 2023, COVID-19 posed an unprecedented challenge to healthcare systems worldwide, rapidly evolving into a pandemic that claimed millions of lives. While the disease has now reached an endemic stage, it continues to demand clinical attention, and the prospect of future pandemics remains a concrete threat. Consequently, developing robust data-driven tools to support healthcare and emergency response remains of utmost importance. In this context, Machine Learning (ML) ...

Esposizione per via aerea, contaminazione cutanea e assorbimento attraverso la pelle di arsenuro di gallio e altri metalli in dimensioni nanometriche.

Questo progetto di ricerca ha valutato l’esposizione professionale a nanoparticelle (NP) di arseniuro di gallio (GaAs) e ha indagato il rischio di assorbimento transdermico di NP di GaAs e di punti quantici (QD) di solfuro di cadmio (CdS) tramite studi ex-vivo con celle di diffusione Franz. Il monitoraggio iniziale ha rilevato una concentrazione media complessiva di nanoparticelle di GaAs nell’aria pari a 1045 np/cm³ durante le operazioni di laboratorio, con picchi transitori fino a 88883 par...

Bayesian inference of lineage evolution and molecular profiling in cancer and gene therapy

Cellular populations within multicellular organisms undergo continuous diversification driven by heritable molecular alterations that shape their evolutionary trajectories. This process, known as somatic evolution, arises from the interplay of mutation, selection, and drift, and manifests across biological systems from tissue homeostasis to malignant transformation. In this thesis, I develop Bayesian models for the quantitative inference of lineage evolution and molecular diversification, pro...

Bayesian and computational modelling for evolutionary cancer dynamics: from coarse dynamics to single-cell resolution

Biological systems such as cancer evolve across multiple scales, from macroscopic growth dynamics observable in longitudinal measurements to molecular alterations captured at single-cell resolution. Understanding these processes requires statistical and computational frameworks that adapt to increasing data richness, heterogeneity, and granularity. This dissertation introduces three complementary methods that collectively span this spectrum, offering principled, scalable, and interpretable mo...

Computational modelling of the interplay between genetic and epigenetic in tumour evolution

Cancer arises from complex interactions between genetic and epigenetic alterations that accumulate across cell populations over time. Copy number alterations (CNAs), DNA methylation changes, and clonal heterogeneity are fundamental drivers of tumour progression; understanding how these layers interact is key to decoding tumour evolution. This thesis presents a comprehensive computational framework for the integrative analysis of tumour evolution through the joint modelling of genetic, epigene...

Protein Language Models: Interpretability and Applications

The advent of large scale neural networks has revolutionized computational biology, enabling the development of powerful Protein Language Models (PLMs) that learn rich representations from amino acid sequences. This thesis explores the internal workings of these models through the lens of interpretability, with the aim of understanding the biological knowledge they capture and taking advantage of this understanding for practical applications. We begin by investigating the intrinsic dimension...

Scopri
Istituto
  • Università degli Studi di Trieste3722
Data di pubblicazione
  • 2020 - 2026744
  • 2010 - 20191486
  • 2000 - 20091018
  • 1990 - 1999431
  • 1987 - 198925
Settore disciplinare
  • Settore FIS/03 - Fisica della Mat...175
  • Settore CHIM/06 - Chimica Organica129
  • Settore BIO/12 - Biochimica Clini...68
  • Settore MED/38 - Pediatria Genera...63
  • Settore BIO/07 - Ecologia61
  • Settore FIS/05 - Astronomia e Ast...60
  • Settore M-PSI/01 - Psicologia Gen...56
  • Settore BIO/10 - Biochimica55
  • Settore FIS/01 - Fisica Sperimentale52
  • Settore MED/03 - Genetica Medica52
Accesso al fulltext
  • no fulltext2523
  • open1124
  • embargoed71
  • internalNetwork4