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Leveraging Audio Biomarkers for Enriching the Tele-Monitoring of Patients
Antonio Celesti;Marco Dell’Acqua;Giovanni Lonia;Davide Ciraolo;Fabrizio Celesti;Maria Fazio;Massimo Villari;Mirjam Bonanno;Rocco Salvatore Calabrò
2024 IEEE Symposium on Computers and Communications (ISCC)
Year: 2024 | Conference Paper |
Remote patient monitoring is a form of telehealth that allows medical centres to monitor and manage their patients’ chronic conditions. Often, depending on the severity of the disease, patients can experience either temporary or permanent home hospitalization. Although the classical medical approach involves continuous monitoring of vital parameters through specialized medical devices, it does not...Show More
Comparing CNN and ViT in both Centralised and Federated Learning Scenarios: a Pneumonia Diagnosis Case Study
Giovanni Lonia;Davide Ciraolo;Maria Fazio;Fabrizio Celesti;Paolo Ruggeri;Massimo Villari;Antonio Celesti
2024 IEEE Symposium on Computers and Communications (ISCC)
Year: 2024 | Conference Paper |
In the last few years, the healthcare industry has seen significant advances in medical image analysis, mainly driven by the substantial progress of Deep Learning (DL). Convolutional Neural Networks (CNNs) have been the reference model for image-processing tasks. Recently, however, the advent of Vision Transformers (ViTs) has challenged their dominance. In this work, we explore the potential of Vi...Show More
The Tele-Rehabilitaion as a Service (TRaaS) Project: Rationale, Study Design, and Methodology
Antonio Celesti;Giovanna Sannino;Mario Bochicchio;Maria Fazio;Massimo Villari;Fabrizio Celesti;Mirjam Bonanno;Rocco Salvatore Calabrò
2023 IEEE 19th International Conference on e-Science (e-Science)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
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 clinical costs. Cloud computing in combination with Edge Computing, the Internet of Things (IoT), Big Data storage and analytics, and Artificial Intellige...Show More
Adopting Machine Learning-Based Pose Estimation as Digital Biomarker in Motor Tele-Rehabilitation
Antonio Celesti;Maria Fazio;Armando Ruggeri;Fabrizio Celesti;Massimo Villari;Mirjam Bonanno;Rocco Salvatore Calabrò
2023 IEEE Symposium on Computers and Communications (ISCC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
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 of patients into society, also pushing down clinical costs. Cloud computing in combination with Edge Computing and Artificial Intelligence (AI) are the main enablers for tele-rehabilitati...Show More
Towards Smart Tele-Biomedical Laboratory: Where We Are, Issues, and Future Challenges
Agata Romano;Rosaria Lanza;Fabrizio Celesti;Antonio Celesti;Maria Fazio;Francesco Martella;Antonino Galletta;Massimo Villari
2021 IEEE Symposium on Computers and Communications (ISCC)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
Tele-biomedical laboratory is a medical laboratory where blood exams are performed either by patients themselves in their homes or by biomedical technicians in satellite clinical centres through the Internet of Things (IoT) biomedical devices interconnected with Hospital Edge/Cloud systems that allow results to be sent to doctors belonging to federated hospitals for validation and/or consultation....Show More
Improving Tele-Rehabilitation Therapy Through Machine Learning with a NoSQL Graph DBMS Approach
Antonio Celesti;Fabrizio Celesti;Maria Fazio;Massimo Villari
Tele-Rehabilitation as a Service (TRaaS) has recently emerged as a 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, and ii) demonstrating how a NoSQL graph database approach can enhance the performance because it works directly at the da...Show More
Improving Machine Learning Algorithm Processing Time in Tele-Rehabilization Through a NoSQL Graph Database Approach: A Preliminary Study
Antonio Celesti;Fabrizio Celesti;Antonino Galletta;Maria Fazio;Massimo Villari
2020 IEEE Symposium on Computers and Communications (ISCC)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
Recent advancements in ICT have sped up the development of new services in healthcare. In this context, remote patient monitoring and rehabilitation activities can take place either in satellite hospital centers or directly in patients’ homes. Specifically, using a combination of Cloud/Edge computing, Internet of Things (IoT) and Machine Learning (ML) technologies, patients with motor disabilities...Show More
optimizing the Research of DNA Sequences in a NoSQL Document Database: A Preliminary Study
Fabrizio Celesti;Antonio Celesti;Antonino Galletta;Maria Fazio;Massimo Villari
2019 IEEE Symposium on Computers and Communications (ISCC)
Year: 2019 | Conference Paper |
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 genomics, genetics of disease, regulation of gene expression, oncology and many others, all supported by bioinformatics. In the era of Cloud computing, federating the Cloud systems of different genetics research organisations pav...Show More
Using Machine Learning to Study Flu Vaccines Opinions of Twitter Users
Antonio Celesti;Antonino Galletta;Fabrizio Celesti;Maria Fazio;Massimo Villari
2019 IEEE Symposium on Computers and Communications (ISCC)
Year: 2019 | Conference Paper |
Cited by: Papers (4)
Nowadays, Healthcare Social Networks (HSNs) offer the possibility to enhance patient care and education. However, they also present potential risks for users due to the possible distribution of poor-quality or wrong information along with their bad interpretation. In recent years several discordant information have been diffused in social networks regarding potential risks of flu vaccines. In this...Show More
Why Deep Learning Is Changing the Way to Approach NGS Data Processing: A Review
Nowadays, big data analytics in genomics is an emerging research topic. In fact, the large amount of genomics data originated by emerging next-generation sequencing (NGS) techniques requires more and more fast and sophisticated algorithms. In this context, deep learning is re-emerging as a possible approach to speed up the DNA sequencing process. In this review, we specifically discuss such a tren...Show More
Big data analytics in genomics: The point on Deep Learning solutions
Fabrizio Celesti;Antonio Celesti;Lorenzo Carnevale;Antonino Galletta;Salvatore Campo;Agata Romano;Pacido Bramanti;Massimo Villari
2017 IEEE Symposium on Computers and Communications (ISCC)
Year: 2017 | Conference Paper |
Cited by: Papers (14)
Nowadays, Next Generation Sequeencing (NGS) is a catch-all term used to describe different modern DNA sequencing applications that produce big genomics data that can be analysed in a faster fashion than in the past. For this reason, NGS requires more and more sophisticated algorithms and high-performance parallel processing systems able to analyse and extract knowledge from a huge amount of genomi...Show More
New trends in Biotechnology: The point on NGS Cloud computing solutions
Antonio Celesti;Maria Fazio;Fabrizio Celesti;Giovanna Sannino;Salvatore Campo;Massimo Villari
2016 IEEE Symposium on Computers and Communication (ISCC)
Year: 2016 | Conference Paper |
Cited by: Papers (9)
The advent of Cloud computing is changing the way of conceiving information and communication systems in different application fields including Biotechnology. In this context, an emerging research field is Next-Generation Sequencing (NGS) that includes several recent technologies allowing sequencing DNA and that have revolutionized the study of genomics and molecular biology. These cutting-edge se...Show More
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