Fabrizio Celesti

ORCID: 0000-0003-1629-0922
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About
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Research Areas
  • Cancer Immunotherapy and Biomarkers
  • IoT and Edge/Fog Computing
  • Stroke Rehabilitation and Recovery
  • Telemedicine and Telehealth Implementation
  • Genomics and Phylogenetic Studies
  • Gene expression and cancer classification
  • Epigenetics and DNA Methylation
  • Immunotherapy and Immune Responses
  • Occupational and environmental lung diseases
  • Algorithms and Data Compression
  • Data-Driven Disease Surveillance
  • Scientific Computing and Data Management
  • Misinformation and Its Impacts
  • Context-Aware Activity Recognition Systems
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Wireless Body Area Networks
  • Glioma Diagnosis and Treatment
  • Advanced Statistical Modeling Techniques
  • Phonocardiography and Auscultation Techniques
  • Machine Learning in Bioinformatics
  • Social Media in Health Education
  • Nanoparticle-Based Drug Delivery
  • Topic Modeling
  • Long-Term Effects of COVID-19
  • Artificial Intelligence in Healthcare

University of Siena
2023-2025

University of Insubria
2019-2023

University of Messina
2016-2019

Azienda Ospedaliera Universitaria Policlinico "G. Martino"
2019

Nowadays, the penetration of sensors and actuators in different application fields is revolutionizing all aspects our daily life. One major sectors that taking advantage such cutting-edge cheap smart devices healthcare. In this context, Remote Patient Monitoring (RPM) at home represents a tempting opportunity for hospitals to reduce clinical costs improve quality life both patients their families. It allows be monitored remotely by means networks Internet Things (IoT) medical equipped with...

10.3390/jsan8010007 article EN cc-by Journal of Sensor and Actuator Networks 2019-01-10

Glioblastoma is the most malignant tumor of central nervous system. Current treatments based on surgery, chemotherapy, and radiotherapy, more recently selected immunological approaches, unfortunately produce dismal outcomes, less than 2% patients survive after 5 years. Thus, there an urgent need for new therapeutic strategies. Here, we report unprecedented positive results in terms protection from glioblastoma growth animal experimental system vaccination with GL261 cells stably expressing...

10.3389/fimmu.2023.1133177 article EN cc-by Frontiers in Immunology 2023-03-13

Abstract Background Glioblastoma multiforme (GBM) is a highly aggressive primary brain tumor, that refractory to standard treatment and immunotherapy with immune-checkpoint inhibitors (ICI). Noteworthy, melanoma metastases (MM-BM), share the same niche as GBM, frequently respond current ICI therapies. Epigenetic modifications regulate GBM cellular proliferation, invasion, prognosis may negatively cross-talk between malignant cells immune in tumor milieu, likely contributing limit efficacy of...

10.1186/s12967-024-05040-x article EN cc-by Journal of Translational Medicine 2024-03-01

Abstract Background Co-targeting of immune checkpoint inhibitors (ICI) CTLA-4 and PD-1 has recently become the new first-line standard care therapy pleural mesothelioma (PM) patients, with a significant improvement overall survival (OS) over conventional chemotherapy. The analysis by tumor histotype demonstrated greater efficacy ICI compared to chemotherapy in non-epithelioid (non-E) vs. epithelioid (E) PM, although some E PM patients also benefit from treatment. This evidence suggests that...

10.1186/s13046-025-03310-0 article EN cc-by Journal of Experimental & Clinical Cancer Research 2025-02-18

Background: co-targeting of immune checkpoint inhibitors (ICI) CTLA-4 and PD-1 has recently become the new first-line standard care therapy pleural mesothelioma (PM) patients, with a significant improvement overall survival (OS) over conventional chemotherapy. The analysis by tumor histotype demonstrated greater efficacy ICI therapy, compared to chemotherapy, in non-epithelioid (non-E) vs. epithelioid (E) PM, although some E PM patients also benefit from treatment. This evidence suggests...

10.1158/1538-7445.am2025-4841 article EN Cancer Research 2025-04-21

Nowadays, Next Generation Sequeencing (NGS) is a catch-all term used to describe different modern DNA sequencing applications that produce big genomics data can be analysed in faster fashion than the past. For this reason, NGS requires more and sophisticated algorithms high-performance parallel processing systems able analyse extract knowledge from huge amount of molecular data. In context, researchers are beginning look at emerging deep learning perform efficient analytics. paper, we...

10.1109/iscc.2017.8024547 article EN 2022 IEEE Symposium on Computers and Communications (ISCC) 2017-07-01

Oral Squamous Cell Carcinoma (OSCC) is the most common malignant tumor of oral cavity. Despite recent advances in field cancer therapy, including introduction immunotherapeutic approaches, 5-year survival rate remains steadily assessed around 50%. Thus, there an urgent need for new therapeutic strategies. After characterization immune phenotype three human OSCC cell lines (CAL-27, SCC-25, and SCC-4) one mouse line (MOC2) showing their similarities to resected patient tumors, we explored...

10.3389/fimmu.2024.1387835 article EN cc-by Frontiers in Immunology 2024-07-05

The advent of Cloud computing is changing the way conceiving information and communication systems in different application fields including Biotechnology. In this context, an emerging research field Next-Generation Sequencing (NGS) that includes several recent technologies allowing sequencing DNA have revolutionized study genomics molecular biology. These cutting-edge produce big datasets require significant scalable resources. paper, we analyse classify major current NGS Cloud-based...

10.1109/iscc.2016.7543751 article EN 2016-06-01

Tele-Rehabilitation as a Service (TRaaS) has recently emerged technique allowing remote patients with motor impairments to be monitored and treated directly in their homes. The objective of this paper is twofold: i) studying how Machine Learning (ML) can improve the TRaaS, ii) demonstrating NoSQL graph database approach enhance performance because it works at layer instead application one. In particular, K-Nearest Neighbors (K-NN) algorithm studied order robotic rehabilitation therapy using...

10.1109/gcwkshps50303.2020.9367392 article EN 2022 IEEE Globecom Workshops (GC Wkshps) 2020-12-01

Although the safety and efficacy of COVID-19 vaccines in older people are critical to their success, little is known about immunogenicity among elderly residents long-term care facilities (LTCFs). A single-center prospective cohort study was conducted: a total IgG antibody titer, neutralizing antibodies against Wild-type, Delta Plus, Omicron BA.2 variants T cell response, were measured eight months after second dose BNT162b2 vaccine (T0) at least 15 days booster (T1). Forty-nine LTCF...

10.3390/ijms241813728 article EN International Journal of Molecular Sciences 2023-09-06

Recent advancements in ICT have sped up the development of new services healthcare. In this context, remote patient monitoring and rehabilitation activities can take place either satellite hospital centers or directly patients' homes. Specifically, using a combination Cloud/Edge computing, Internet Things (IoT) Machine Learning (ML) technologies, patients with motor disabilities be remotely assisted avoiding stressful waiting times overcoming geographical barriers. This is possible by...

10.1109/iscc50000.2020.9219700 article EN 2022 IEEE Symposium on Computers and Communications (ISCC) 2020-07-01

Tele-rehabilitation has recently emerged as an effective solution for providing assisted living, increasing clinical outcomes, positively enhancing patients' Quality of Life (QoL) and fostering their reintegration into society, also pushing down costs. Cloud computing in combination with Edge Computing, the Internet Things (IoT), Big Data storage analytics, Artificial Intelligence (AI) are main enablers tele-rehabilitation. In this paper, we present Italian founded PRIN 2022 project entitled...

10.1109/e-science58273.2023.10254814 article EN 2023-09-25

Nowadays, Healthcare Social Networks (HSNs) offer the possibility to enhance patient care and education. However, they also present potential risks for users due possible distribution of poor-quality or wrong information along with their bad interpretation. In recent years several discordant have been diffused in social networks regarding flu vaccines. this paper, by considering a Twitter datasets, we study accuracy users' opinions comparing different Machine Learning approaches including...

10.1109/iscc47284.2019.8969742 article EN 2022 IEEE Symposium on Computers and Communications (ISCC) 2019-06-01

Abstract Background:Glioblastoma multiforme (GBM) is a highly aggressive primary brain tumor refractory to standard treatments and immunotherapy with immune-checkpoint inhibitors (ICI) (PMID: 35626018). Interestingly, melanoma metastases (MM-BM), sharing the same niche as GBM, often respond current ICI immunotherapies 36521332). The role of epigenetic modifications in regulating GBM cellular proliferation, invasion, prognosis, well their impact on cross-talk between immune cells milieu, has...

10.1158/1538-7445.am2024-2632 article EN Cancer Research 2024-03-22

Abstract Background co-targeting of immune checkpoint inhibitors (ICI) CTLA-4 and PD-1 has recently become the new first-line standard care therapy pleural mesothelioma (PM) patients, with a significant improvement overall survival over conventional chemotherapy. The analysis by tumor histotype demonstrated greater efficacy ICI in non-epithelioid (non-E) vs epithelioid (E) PM; although some E PM patients also benefit from treatment. This evidence suggests that molecular features, beyond...

10.1101/2024.08.08.607174 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2024-08-09

Nowadays, tele-rehabilitation has emerged as an effective approach for providing assisted living, increasing clinical outcomes, positively enhancing patients' Quality of Life (QoL) and fostering the reintegration patients into society, also pushing down costs. Cloud computing in combination with Edge Computing Artificial Intelligence (AI) are main enablers tele-rehabilitation. In particular, rehabilitation devices can act smart digital biomarkers sending quantifiable physiological...

10.1109/iscc58397.2023.10218121 article EN 2022 IEEE Symposium on Computers and Communications (ISCC) 2023-07-09

Tele-biomedical laboratory is a medical where blood exams are performed either by patients themselves in their homes or biomedical technicians satellite clinical centres through the Internet of Things (IoT) devices interconnected with Hospital Edge/Cloud systems that allow results to be sent doctors belonging federated hospitals for validation and/or consultation. This paper aims at providing clear picture current state art tele- laboratory, also highlighting issues and future challenges....

10.1109/iscc53001.2021.9631430 article EN 2022 IEEE Symposium on Computers and Communications (ISCC) 2021-09-05

The study of DNA sequences has become indis-pensable for basic biological research, and in numerous applied fields such as comparative genomics, evolutionary biology, pan genetics disease, regulation gene expression, oncology many others, all supported by bioinformatics. In the era Cloud computing, federating systems different research organisations paves way towards a new data sharing mashup services applications. However, due to huge amount genomics (genomics Big Data) that have be...

10.1109/iscc47284.2019.8969697 article EN 2022 IEEE Symposium on Computers and Communications (ISCC) 2019-06-01
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