Biomedical Engineering, Artificial Intelligence, Signal Processing
19
Scopus Publications
108
Scholar Citations
5
Scholar h-index
3
Scholar i10-index
Scopus Publications
Immune-Based Biomarkers as Predictors of Mortality in ECMO Therapy for Severe COVID-19 ARDS: Insights from a Retrospective Study Rosalia Busà, Giovanna Panarello, Alessia Gallo, Vitale Miceli, Salvatore Castelbuono, Maria Concetta Sorrentino, Giandomenico Amico, Claudia Carcione, Giovanna Russelli, Nicola Cuscino, Monica Miele, Francesca Timoneri, Mariangela Di Bella, Giovanni Zito, Floriana Barbera, Ester Badami, Anna Maria Corsale, Mojtaba Shekarkar Azgomi, Pier Giulio Conaldi, Cirino Botta, Matteo Bulati International Journal of Molecular Sciences, 2026 Extracorporeal membrane oxygenation (ECMO) is a vital intervention for patients with severe respiratory failure, particularly in unresponsive acute respiratory distress syndrome (ARDS) cases. However, patient selection for ECMO remains a significant challenge. This study aims to identify novel immune-based biomarkers to improve eligibility assessment and predict outcomes in critically ill COVID-19 patients undergoing ECMO. This monocentric observational retrospective cohort study included 80 patients with severe COVID-19-related pneumonia who required ECMO support due to unresponsive ARDS. The patients were admitted to the intensive care unit (ICU) of IRCCS-ISMETT Hospital between September 2020 and April 2021, before the availability of COVID-19 vaccines. All patients were infected with the original SARS-CoV-2 Wuhan strain. Using machine learning approaches, the study analyzed clinical and laboratory data, cytokine levels, RNA sequencing (RNA-seq), and immune cell profiles collected within two days of hospitalization. The analysis identified a 5.56-fold increased mortality risk in patients presenting with a combination of immune factors: a T cell exhaustion profile, low interferon-alpha (IFNα) levels, and high calprotectin levels. These immune markers were strongly associated with poorer outcomes in patients undergoing ECMO. Our findings highlight the critical role of immune profiling in ECMO patient selection and outcome prediction. Incorporating immune-based biomarkers into clinical assessments may enhance the evaluation of ECMO eligibility and guide treatment decisions, ultimately improving patient outcomes.
Circulating biomarkers in patients with progressive fibrosing interstitial lung disease treated with nintedanib: a pilot study Vitale Miceli, Adriana Callari, Elisa Calzolari, Salvatore Castelbuono, Carcione Claudia, Nicola Lanzarone, Lavinia Martino, Pier Giulio Conaldi, Massimo Pinzani, Patrizio Vitulo Scientific Reports, 2025 Progressive fibrosing interstitial lung diseases (PF-ILDs) are characterized by persistent progression and have limited treatment options. The identification of reliable biomarkers to monitor fibrosis and therapeutic response remains a clinical challenge. This study investigated circulating plasma biomarkers associated with PF-ILDs and their potential role in monitoring disease evolution during nintedanib treatment. From 127 putative fibrosis biomarkers, seven candidates were identified with high diagnostic value (area under the curve [AUC] > 0.7), of which five (IGFBP2, PTX3, LGALS1, LGALS9, and MMP2) showed significant dynamic changes (assessed by longitudinal plasma proteomic analysis) in PF-ILD patients treated with 12-months nintedanib, correlating with improvements in forced vital capacity and diffusing capacity of the lung for carbon monoxide. Principal component analysis identified a shift in molecular profiles over time, suggesting nintedanib-induced modulation of these biomarkers. Receiver operating characteristic analysis demonstrated that while LGALS9 maintained a stable predictive value during nintedanib treatment, LGALS1, IGFBP2, PTX3, and MMP2 exhibited increasing AUC scores, indicating their potential role in monitoring fibrosis progression. We also identified optimal biomarker cut-off values at 12 months, which may provide reliable thresholds for fibrosis assessment. In conclusion, our exploratory analysis identified five biomarkers whose plasma concentrations changed during antifibrotic treatment, highlighting their potential prognostic value. Further validation in larger cohorts is needed to confirm their clinical utility.
Transcriptomic profiles of monocyte-derived macrophages exposed to SARS-CoV-2 VOCs reveal immune-evasion escape driven by delta Alessia Gallo, Josè Camilla Sammartino, Roberta Vazzana, Roberto Giambruno, Claudia Carcione, Nicola Cuscino, Salvatore Castelbuono, Vitale Miceli, Matteo Bulati, Daniele Lilleri, Irene Cassaniti, Pier Giulio Conaldi, Fausto Baldanti Journal of Translational Medicine, 2025 BACKGROUND: Since the breakout of COVID-19, the mutated forms of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have shown enhanced rates of transmission and adaptation to humans. The variants of concern (VOC), designated Alpha, Beta, Gamma, Delta, and Omicron emerged independent of one another, and in turn rapidly became dominant. The success of each VOC, as well as the virus fitness, were enabled by altered intrinsic functional properties and, reasonably, to virus antigenicity changes, conferring the ability to evade a primed immune response. METHODS: We analysed the gene expression profiles of monocyte-derived macrophages (MDM) isolated from whole blood of healthy participants exposed to the 5 different SARS-CoV-2 VOC: D614G, Alpha (B.1.1.7), Gamma (P1), Delta (B.1.617.2), and Omicron BA.1 (B.1.1.529), and to the HCoV-OC43 strain, a coronavirus already present in the population before the SARS-CoV-2 pandemic. Whole transcriptome RNA-Seq, for both coding and non-coding RNAs, was then made. RESULTS: After exposure to the 5 VOC of MDM, we initially assessed the presence of the viral SARS-CoV-2 transcripts to confirm viral entry. We then analysed the RNA-Seq data and observed a significant deregulation of both coding and non-coding RNAs. In particular, our RNA-Seq analysis showed a significant up-regulation of several genes involved in different immunological processes, such as PARP9/PARP14 axes, in macrophages exposed to D614G, Alpha, and Gamma variants. Surprisingly, our data showed that macrophages exposed to the Delta variant exhibited a transcriptional profile more similar to the naïve control group, while macrophages exposed to the Omicron variant showed intermediate differentially expressed genes (DEGs) between the two groups. By checking the canonical markers for M1/M2 differentiation states, we did not observe any expression in macrophages exposed to the Delta variant, suggesting an M0 status, comparable to the naïve control group. Finally, we observed a significant deregulation of 3 main types of non-coding RNAs (ncRNAs): long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and small nucleolar RNAs (snoRNAs), some of which are common to coronaviruses, and some specific to SARS-CoV-2. CONCLUSION: The SARS-CoV-2-dependent alteration of the transcriptome of monocyte-derived macrophage (MDM)-infected cells can be linked to the chronological order of the variants' appearance in the human population. Our data suggest an evolution of VOC in modulating the host immune response, with a strong change in pace beginning with the advent of the Delta variant. MDMs exposed to Delta showed a failure in the activation of the adaptive immune response, and this correlates with the more severe symptoms developed by people affected with this SARS-CoV-2 variant.
Immune profiling in solid organ transplant recipients with HHV-8 infection: Identification of immunological biomarkers for KICS and Kaposi's sarcoma Rosalia Busà, Francesca Timoneri, Monica Miele, Mariangela Di Bella, Andrea Cona, Salvatore Castelbuono, Mattia Emanuela Ligotti, Alessia Gallo, Francesca Pecoraro, Giuseppe Randazzo, Caterina Amato, Clara Pipia, Giandomenico Amico, Valentina Agnese, Pier Giulio Conaldi, Mario Luppi, Alessandra Mularoni, Matteo Bulati Clinical Immunology, 2025 Human Herpesvirus 8 (HHV-8) poses a significant risk in solid organ transplant recipients (SOTRs). HHV-8 is implicated in both neoplastic and non-neoplastic conditions. This study investigates immune dysregulation in HHV-8-infected SOTRs by analysing cytokine profiles and virus-specific T cell responses across different clinical manifestations. Our findings reveal a progressive decline in HHV-8-specific T cell responses correlating with disease severity, alongside a distinct cytokine signature. KICS patients exhibit heightened inflammation with elevated IL-6, IL-10, IFNα, TNFα, IL-1β, IL-17 A, IDO, sCD14, and immune exhaustion markers (PD-1, LAG-3), whereas KS is associated with angiogenic and macrophage activation factors (HGF, CD163). Given these insights, monitoring HHV-8 DNAemia, inflammatory cytokines, and T cell functionality is crucial for early detection and risk stratification. This study underscores the importance of immune monitoring in transplant recipients, paving the way for targeted interventions to mitigate HHV-8-associated complications.
Proteome Profiling of Cerebrospinal Fluid and Machine Learning Reveal Protein Classifiers of Two Forms of Alzheimer’s Disease Characterized by Increased or Not Altered Levels of Tau Elisabetta Scalia, Matteo Calligaris, Margot Lo Pinto, Salvatore Castelbuono, Matilda Iemmolo, Vincenzina Lo Re, Giulia Bivona, Tommaso Piccoli, Giulio Ghersi, Simone Dario Scilabra Molecular and Cellular Proteomics, 2025 Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder that presents with heterogeneous clinical and pathological features, necessitating improved biomarkers for accurate diagnosis and patient stratification. In this study, we applied a data-independent acquisition-based proteomics workflow to cerebrospinal fluid (CSF) samples from 138 individuals, including AD patients with high (Aβ+/tau+) or normal (Aβ+/tau-) CSF tau levels, and non-AD controls. Analysis using an Astral mass spectrometer enabled unprecedented proteome depth, identifying 2661 proteins with high data completeness. Comparative proteomic profiling revealed distinct protein signatures for Aβ+/tau+ and Aβ+/tau- subtypes. These findings were validated using an independent internal cohort and further corroborated with publicly available datasets from larger external AD cohorts, demonstrating the robustness and reproducibility of our results. Using machine learning, we identified a panel of 15 protein classifiers that accurately distinguished the two AD subtypes and controls across datasets. Notably, several of these proteins were elevated in the preclinical stage, underscoring their potential utility for early diagnosis and stratification. Together, our results demonstrate the power of data-independent acquisition proteomics on the Astral platform, combined with machine learning, to uncover subtype-specific biomarkers of AD and support the development of personalized diagnostic strategies.
Whole-genome sequencing characterisation of a new KPC-245 variant-carrying Klebsiella pneumoniae strain isolated from a transplanted patient and resistant to ceftazidime/avibactam, meropenem/vaborbactam and imipenem/relebactam Claudia Vaiana, Roberta Vazzana, Salvatore Castelbuono, Andrea Cona, Alessandra Mularoni, Rita Minucci, Francesco Monaco, Daniele Di Carlo, Pier Giulio Conaldi, Alessia Gallo, Nicola Cuscino Journal of Global Antimicrobial Resistance, 2025 • Klebsiella pneumoniae carbapenemase-carrying K. pneumoniae represents a significant threat to human health worldwide. • Whole-genome sequencing is a useful approach for understanding severe multidrug-resistant phenotypes. • A new bla KPC variant was identified that is potentially responsible for resistance to all new β-lactams/β-lactamase inhibitors tested as well as cefiderocol in a clinical isolate. In recent decades, the increasing prevalence of multidrug-resistant Klebsiella pneumoniae carbapenemase (KPC)-carrying K. pneumoniae (KPC-Kp) has become a worldwide public concern. Herein, we characterised a ceftazidime/avibactam (CAZ/AVI), meropenem/vaborbactam (MER/VAB) and imipenem/relebactam (IMI/REL)-resistant KPC-Kp strain isolated from a critically ill transplant patient. Antimicrobial susceptibility testing and whole-genome sequencing (WGS) were conducted to characterise the strain at phenotypic and genotypic levels. Genomic DNA was sequenced using the Illumina platform. Bioinformatic analyses were used to investigate the genome sequences both for resistance and virulence features, and for the characterisation of plasmids. Phenotypic characterisation revealed that the KPC-Kp isolate was highly resistant to a wide range of antibiotics, including all β-lactam/β-lactamase inhibitor combinations such as CAZ/AVI, MER/VAB, IMI/REL and cefiderocol. WGS analysis showed that the isolate, belonging to the rare lineage ST661, contained several resistance and virulence genes. Among the resistance genes, we identified a new KPC variant within the mobile genetic element Tn4401—KPC-245—characterised by the insertion of nine amino acids (RAPNKDDYT) at position 263 as well as an amino acid change within the protein sequence, E274D, compared with KPC-3. Interestingly, the presence of mutations only in the bla KPC gene and not in other β-lactamase coding genes strongly points to the role of KPC-245 in β-lactam/β-lactamase inhibitor combinations and cefiderocol resistance. In our study, by using WGS analysis on a clinical isolate, we identified a new bla KPC variant within the Tn4401 transposon. Our results confirm the importance of continuous surveillance of multidrug-resistant K. pneumoniae in the clinical context.
A Bioartificial Device for the Encapsulation of Pancreatic β-Cells Using a Semipermeable Biocompatible Porous Membrane Nicola Cuscino, Salvatore Castelbuono, Claudio Centi, Rosaria Tinnirello, Maura Cimino, Giovanni Zito, Andrea Orlando, Massimo Pinzani, Pier Giulio Conaldi, Alessandro Mattina, Vitale Miceli Journal of Clinical Medicine, 2025 Background/Objectives: Type 1 diabetes (T1D) is a chronic autoimmune condition characterized by the destruction of pancreatic β-cells, leading to insulin deficiency. Current therapies, such as islet transplantation, face significant challenges, including limited donor availability and the need for lifelong immunosuppression. Encapsulation technologies offer a promising alternative, providing immune protection and maintaining β-cell viability. In this study, we propose an encapsulation device featuring a spiral tubular semipermeable polyethersulfone (PES) membrane reinforced with a rigid biocompatible resin scaffold. Methods: The PES membrane was engineered with a tailored porosity of 0.5 µm, enabling efficient nutrient and oxygen exchange while preventing immune cell infiltration. Using INS-1E insulin-secreting cells aggregated into size-controlled islet-like spheroids (ILSs), we evaluated the device’s performance. Results: The device achieved high ILS viability and insulin secretion over 48 h at therapeutic densities, maintaining functionality comparable to free-floating ILSs (control). The PES membrane, with its mechanical stability and biocompatibility, ensured durability without compromising diffusion dynamics, overcoming a critical limitation of other encapsulation approaches. Importantly, the device geometry allowed for the encapsulation of up to 356,000 islet equivalents (IEQs) in a single capillary fiber, reaching therapeutic thresholds for T1D patients. Conclusions: this device, with its innovative design, enables high-density encapsulation while preserving ILS functionality and scalability, making it a potential platform for clinical application. This work highlights the potential of PES-based encapsulation devices to overcome key barriers in T1D treatment, paving the way for personalized, long-term solutions to restore insulin independence.
Generation of a virtual cohort of TAVI patients for in silico trials: a statistical shape and machine learning analysis Roberta Scuoppo, Salvatore Castelbuono, Stefano Cannata, Giovanni Gentile, Valentina Agnese, Diego Bellavia, Caterina Gandolfo, Salvatore Pasta Medical and Biological Engineering and Computing, 2025 Purpose In silico trials using computational modeling and simulations can complement clinical trials to improve the time-to-market of complex cardiovascular devices in humans. This study aims to investigate the significance of synthetic data in developing in silico trials for assessing the safety and efficacy of cardiovascular devices, focusing on bioprostheses designed for transcatheter aortic valve implantation (TAVI). Methods A statistical shape model (SSM) was employed to extract uncorrelated shape features from TAVI patients, enabling the augmentation of the original patient population into a clinically validated synthetic cohort. Machine learning techniques were utilized not only for risk stratification and classification but also for predicting the physiological variability within the original patient population. Results By randomly varying the statistical shape modes within a range of ± 2σ, a hundred virtual patients were generated, forming the synthetic cohort. Validation against the original patient population was conducted using morphological measurements. Support vector machine regression, based on selected shape modes (principal component scores), effectively predicted the peak pressure gradient across the stenosis (R-squared of 0.551 and RMSE of 11.67 mmHg). Multilayer perceptron neural network accurately predicted the optimal device size for implantation with high sensitivity and specificity (AUC = 0.98). Conclusion The study highlights the potential of integrating computational predictions, advanced machine learning techniques, and synthetic data generation to improve predictive accuracy and assess TAVI-related outcomes through in silico trials. Graphical Abstract
The impact of loss functions and optimizers on U-Net for aneurysmal ascending aorta segmentation Convegno Nazionale Di Bioingegneria, 2025
Statistical Characterization of Brain Functional Connectivity in Patients at Risk of Post Operative Cognitive Decline Convegno Nazionale Di Bioingegneria, 2025
Immune-Based Biomarkers as Predictors of Mortality in ECMO Therapy for Severe COVID-19 ARDS: Insights from a Retrospective Study R Busà, G Panarello, A Gallo, V Miceli, S Castelbuono, MC Sorrentino, ... International Journal of Molecular Sciences 27 (1), 390 , 2025 2025
Proteome profiling of cerebrospinal fluid and machine learning reveal protein classifiers of two forms of Alzheimer’s disease characterized by increased or not altered levels … E Scalia, M Calligaris, ML Pinto, S Castelbuono, M Iemmolo, VL Re, ... Molecular & Cellular Proteomics 24 (8) , 2025 2025 Citations: 3
Circulating biomarkers in patients with progressive fibrosing interstitial lung disease treated with nintedanib: a pilot study V Miceli, A Callari, E Calzolari, S Castelbuono, C Claudia, N Lanzarone, ... Scientific Reports 15 (1), 27115 , 2025 2025 Citations: 1
Immune profiling in solid organ transplant recipients with HHV-8 infection: Identification of immunological biomarkers for KICS and Kaposi's sarcoma R Busà, F Timoneri, M Miele, M Di Bella, A Cona, S Castelbuono, ... Clinical Immunology, 110562 , 2025 2025 Citations: 4
Whole-genome sequencing characterisation of a new KPC-245 variant-carrying Klebsiella pneumoniae strain isolated from a transplanted patient and resistant to ceftazidime … C Vaiana, R Vazzana, S Castelbuono, A Cona, A Mularoni, R Minucci, ... Journal of Global Antimicrobial Resistance 42, 229-233 , 2025 2025 Citations: 5
Serologic screening and molecular surveillance of Kaposi sarcoma herpesvirus/human herpesvirus-8 infections for early recognition and effective treatment of Kaposi sarcoma … A Mularoni, A Cona, M Bulati, R Busà, M Miele, F Timoneri, M Di Bella, ... American Journal of Transplantation 25 (5), 1070-1085 , 2025 2025 Citations: 31
Exposure of monocyte-derived macrophages to the UV-inactivated SARS-CoV-2 VOCs shows similar effects on the transcriptomic profile as active virus: a comparative analysis JC Sammartino, R Vazzana, N Cuscino, S Castelbuono, R Giambruno, ... Journal of Translational Medicine 23 (1), 332 , 2025 2025 Citations: 1
A bioartificial device for the encapsulation of pancreatic β-cells using a semipermeable biocompatible porous membrane N Cuscino, S Castelbuono, C Centi, R Tinnirello, M Cimino, G Zito, ... Journal of Clinical Medicine 14 (5), 1631 , 2025 2025 Citations: 4
Transcriptomic profiles of monocyte-derived macrophages exposed to SARS-CoV-2 VOCs reveal immune-evasion escape driven by delta A Gallo, JC Sammartino, R Vazzana, R Giambruno, C Carcione, ... Journal of Translational Medicine 23 (1), 151 , 2025 2025 Citations: 4
Generation of a virtual cohort of TAVI patients for in silico trials: a statistical shape and machine learning analysis R Scuoppo, S Castelbuono, S Cannata, G Gentile, V Agnese, D Bellavia, ... Medical & Biological Engineering & Computing 63 (2), 467-482 , 2025 2025 Citations: 9
Statistical Characterization of Brain Functional Connectivity in Patients at Risk of Post Operative Cognitive Decline S Castelbuono, L Sparacino, V Lo Re, E Lo Gerfo, G Sparacia, N Cuscino, ... ... NATIONAL CONGRESS OF BIOENGINEERING. PROCEEDINGS , 2025 2025
The impact of loss functions and optimizers on U-Net for aneurysmal ascending aorta segmentation C Livolsi, L Nioi, S Castelbuono, S Pasta, N Cuscino ... NATIONAL CONGRESS OF BIOENGINEERING. PROCEEDINGS , 2025 2025
Information-Theoretic Characterization of Short-Term Heart Rate Variability in Ischemic and Non-Ischemic Heart Failure Patients During Exercise S Castelbuono, D Bellavia, L Sparacino, Y Antonacci, E La Franca, ... ACE 31, 39.4 , 2025 2025
Ultra-short-term heart rate variability of home-monitored heart failure patients: a case study S Castelbuono, C Barà, R Pernice, L Faes, D Bellavia 2024 13th Conference of the European Study Group on Cardiovascular … , 2024 2024 Citations: 1
Proteomic analysis and functional validation reveal distinct therapeutic capabilities related to priming of mesenchymal stromal/stem cells with IFN-γ and hypoxia: potential … M Calligaris, G Zito, R Busà, M Bulati, G Iannolo, A Gallo, AP Carreca, ... Frontiers in Cell and Developmental Biology 12, 1385712 , 2024 2024 Citations: 17
Human Amniotic MSC Response in LPS-Stimulated Ascites from Patients with Cirrhosis: FOXO1 Gene and Th17 Activation in Enhanced Antibacterial Activation M Pampalone, N Cuscino, G Iannolo, G Amico, C Ricordi, G Vitale, ... International journal of molecular sciences 25 (5), 2801 , 2024 2024
Cytokine storm and severe hepatitis in pregnancy due to herpes simplex virus 2 A Mularoni, A Cona, L Ribeiro Dias, M Bulati, R Busà, S Castelbuono, ... Infection 52 (1), 259-263 , 2024 2024 Citations: 1
3D culture and interferon-γ Priming modulates characteristics of mesenchymal stromal/stem cells by modifying the expression of both intracellular and exosomal microRNAs M Bulati, A Gallo, G Zito, R Busà, G Iannolo, N Cuscino, S Castelbuono, ... Biology 12 (8), 1063 , 2023 2023 Citations: 19
Bayesian supervised machine learning classification of neural networks with pathological perturbations R Levi, VD Valderhaug, S Castelbuono, A Sandvig, I Sandvig, R Barbieri Biomedical Physics & Engineering Express 7 (6), 065021 , 2021 2021 Citations: 8
Analysis of Resting-State Functional Connectomes Based on the Graph Embedding Pipeline Rest2vec S Castelbuono University of Illinois at Chicago , 2021 2021
MOST CITED SCHOLAR PUBLICATIONS
Serologic screening and molecular surveillance of Kaposi sarcoma herpesvirus/human herpesvirus-8 infections for early recognition and effective treatment of Kaposi sarcoma … A Mularoni, A Cona, M Bulati, R Busà, M Miele, F Timoneri, M Di Bella, ... American Journal of Transplantation 25 (5), 1070-1085 , 2025 2025 Citations: 31
3D culture and interferon-γ Priming modulates characteristics of mesenchymal stromal/stem cells by modifying the expression of both intracellular and exosomal microRNAs M Bulati, A Gallo, G Zito, R Busà, G Iannolo, N Cuscino, S Castelbuono, ... Biology 12 (8), 1063 , 2023 2023 Citations: 19
Proteomic analysis and functional validation reveal distinct therapeutic capabilities related to priming of mesenchymal stromal/stem cells with IFN-γ and hypoxia: potential … M Calligaris, G Zito, R Busà, M Bulati, G Iannolo, A Gallo, AP Carreca, ... Frontiers in Cell and Developmental Biology 12, 1385712 , 2024 2024 Citations: 17
Generation of a virtual cohort of TAVI patients for in silico trials: a statistical shape and machine learning analysis R Scuoppo, S Castelbuono, S Cannata, G Gentile, V Agnese, D Bellavia, ... Medical & Biological Engineering & Computing 63 (2), 467-482 , 2025 2025 Citations: 9
Bayesian supervised machine learning classification of neural networks with pathological perturbations R Levi, VD Valderhaug, S Castelbuono, A Sandvig, I Sandvig, R Barbieri Biomedical Physics & Engineering Express 7 (6), 065021 , 2021 2021 Citations: 8
Whole-genome sequencing characterisation of a new KPC-245 variant-carrying Klebsiella pneumoniae strain isolated from a transplanted patient and resistant to ceftazidime … C Vaiana, R Vazzana, S Castelbuono, A Cona, A Mularoni, R Minucci, ... Journal of Global Antimicrobial Resistance 42, 229-233 , 2025 2025 Citations: 5
Immune profiling in solid organ transplant recipients with HHV-8 infection: Identification of immunological biomarkers for KICS and Kaposi's sarcoma R Busà, F Timoneri, M Miele, M Di Bella, A Cona, S Castelbuono, ... Clinical Immunology, 110562 , 2025 2025 Citations: 4
A bioartificial device for the encapsulation of pancreatic β-cells using a semipermeable biocompatible porous membrane N Cuscino, S Castelbuono, C Centi, R Tinnirello, M Cimino, G Zito, ... Journal of Clinical Medicine 14 (5), 1631 , 2025 2025 Citations: 4
Transcriptomic profiles of monocyte-derived macrophages exposed to SARS-CoV-2 VOCs reveal immune-evasion escape driven by delta A Gallo, JC Sammartino, R Vazzana, R Giambruno, C Carcione, ... Journal of Translational Medicine 23 (1), 151 , 2025 2025 Citations: 4
Proteome profiling of cerebrospinal fluid and machine learning reveal protein classifiers of two forms of Alzheimer’s disease characterized by increased or not altered levels … E Scalia, M Calligaris, ML Pinto, S Castelbuono, M Iemmolo, VL Re, ... Molecular & Cellular Proteomics 24 (8) , 2025 2025 Citations: 3
Circulating biomarkers in patients with progressive fibrosing interstitial lung disease treated with nintedanib: a pilot study V Miceli, A Callari, E Calzolari, S Castelbuono, C Claudia, N Lanzarone, ... Scientific Reports 15 (1), 27115 , 2025 2025 Citations: 1
Exposure of monocyte-derived macrophages to the UV-inactivated SARS-CoV-2 VOCs shows similar effects on the transcriptomic profile as active virus: a comparative analysis JC Sammartino, R Vazzana, N Cuscino, S Castelbuono, R Giambruno, ... Journal of Translational Medicine 23 (1), 332 , 2025 2025 Citations: 1
Ultra-short-term heart rate variability of home-monitored heart failure patients: a case study S Castelbuono, C Barà, R Pernice, L Faes, D Bellavia 2024 13th Conference of the European Study Group on Cardiovascular … , 2024 2024 Citations: 1
Cytokine storm and severe hepatitis in pregnancy due to herpes simplex virus 2 A Mularoni, A Cona, L Ribeiro Dias, M Bulati, R Busà, S Castelbuono, ... Infection 52 (1), 259-263 , 2024 2024 Citations: 1
Immune-Based Biomarkers as Predictors of Mortality in ECMO Therapy for Severe COVID-19 ARDS: Insights from a Retrospective Study R Busà, G Panarello, A Gallo, V Miceli, S Castelbuono, MC Sorrentino, ... International Journal of Molecular Sciences 27 (1), 390 , 2025 2025
Statistical Characterization of Brain Functional Connectivity in Patients at Risk of Post Operative Cognitive Decline S Castelbuono, L Sparacino, V Lo Re, E Lo Gerfo, G Sparacia, N Cuscino, ... ... NATIONAL CONGRESS OF BIOENGINEERING. PROCEEDINGS , 2025 2025
The impact of loss functions and optimizers on U-Net for aneurysmal ascending aorta segmentation C Livolsi, L Nioi, S Castelbuono, S Pasta, N Cuscino ... NATIONAL CONGRESS OF BIOENGINEERING. PROCEEDINGS , 2025 2025
Information-Theoretic Characterization of Short-Term Heart Rate Variability in Ischemic and Non-Ischemic Heart Failure Patients During Exercise S Castelbuono, D Bellavia, L Sparacino, Y Antonacci, E La Franca, ... ACE 31, 39.4 , 2025 2025
Human Amniotic MSC Response in LPS-Stimulated Ascites from Patients with Cirrhosis: FOXO1 Gene and Th17 Activation in Enhanced Antibacterial Activation M Pampalone, N Cuscino, G Iannolo, G Amico, C Ricordi, G Vitale, ... International journal of molecular sciences 25 (5), 2801 , 2024 2024
Analysis of Resting-State Functional Connectomes Based on the Graph Embedding Pipeline Rest2vec S Castelbuono University of Illinois at Chicago , 2021 2021
