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  1. Article ; Online: Special Issue: "Intelligent Systems for Clinical Care and Remote Patient Monitoring".

    Sannino, Giovanna / Celesti, Antonio / De Falco, Ivanoe

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 18

    Abstract: The year 2020 was definitely like no other [ ... ]. ...

    Abstract The year 2020 was definitely like no other [...].
    Language English
    Publishing date 2023-09-20
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23187993
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Uptake of Breathable Nano- and Micro-Sized Polystyrene Particles: Comparison of Virgin and Oxidised nPS/mPS in Human Alveolar Cells.

    Laganà, Antonio / Visalli, Giuseppa / Facciolà, Alessio / Celesti, Consuelo / Iannazzo, Daniela / Di Pietro, Angela

    Toxics

    2023  Volume 11, Issue 8

    Abstract: Airborne micro- and nanoplastics are widely spread and pose a risk to human health. The third polymer plastic most commonly produced and present in atmospheric fallout is polystyrene (PS). For these reasons and for a more realistic assessment of ... ...

    Abstract Airborne micro- and nanoplastics are widely spread and pose a risk to human health. The third polymer plastic most commonly produced and present in atmospheric fallout is polystyrene (PS). For these reasons and for a more realistic assessment of biological effects, we examined in-home oxidised (ox-, simulating photoaging) nPS/mPS (0.1 and 1 μm), comparing the effects with virgin ones (v-). On human alveolar cells (A549), we quantified the cellular uptake, using FITC-functionalised nPS/mPS, while cytotoxicity, changes in the acidic compartment, ROS production, mitochondrial function, and DNA damage were assessed to study the effects of internalised v- and ox-nPS/mPS. The results showed that the uptake was dose-dependent and very fast (1 h), since, at the lowest dose (1.25 µg/well), it was 20.8% and 21.8% of nPS and mPS, respectively. Compared to v-, significant ROS increases, DNA damage, and mitochondrial impairment were observed after exposure to ox-nPS/mPS. The enhancement of effects due to environmental aging processes highlighted the true potential impact on human health of these airborne pollutants.
    Language English
    Publishing date 2023-08-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2733883-6
    ISSN 2305-6304 ; 2305-6304
    ISSN (online) 2305-6304
    ISSN 2305-6304
    DOI 10.3390/toxics11080686
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Why Deep Learning Is Changing the Way to Approach NGS Data Processing: A Review.

    Celesti, Fabrizio / Celesti, Antonio / Wan, Jiafu / Villari, Massimo

    IEEE reviews in biomedical engineering

    2018  Volume 11, Page(s) 68–76

    Abstract: 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 ... ...

    Abstract 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 trend. In particular, starting from an analysis of the interest of the Internet community in both NGS and deep learning, we present a taxonomic analysis highlighting the major software solutions based on deep learning algorithms available for each specific NGS application field. We discuss future challenges in the perspective of cloud computing services aimed at deep learning based solutions for NGS.
    MeSH term(s) Algorithms ; Animals ; Big Data ; Deep Learning/trends ; Genomics/trends ; High-Throughput Nucleotide Sequencing/trends ; Humans ; Internet ; Sequence Analysis, DNA/trends ; Software
    Language English
    Publishing date 2018-04-12
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ISSN 1941-1189
    ISSN (online) 1941-1189
    DOI 10.1109/RBME.2018.2825987
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Deep learning applications in telerehabilitation speech therapy scenarios.

    Mulfari, Davide / La Placa, Donatella / Rovito, Chiara / Celesti, Antonio / Villari, Massimo

    Computers in biology and medicine

    2022  Volume 148, Page(s) 105864

    Abstract: Nowadays, many application scenarios benefit from automatic speech recognition (ASR) technology. Within the field of speech therapy, in some cases ASR is exploited in the treatment of dysarthria with the aim of supporting articulation output. However, in ...

    Abstract Nowadays, many application scenarios benefit from automatic speech recognition (ASR) technology. Within the field of speech therapy, in some cases ASR is exploited in the treatment of dysarthria with the aim of supporting articulation output. However, in presence of atypical speech, standard ASR approaches do not provide any reliable result in terms of voice recognition due to main issues, including: (i) the extreme intra and inter-speakers variability of the speech in presence of speech impairments, such as dysarthria; (ii) the absence of dedicated corpora containing voice samples from users with a speech disability to train a state-of-the-art speech model, particularly in non-English languages. In this paper, we focus on isolated word recognition for native Italian speakers with dysarthria and we exploit an existing mobile app to collect audio data from users with speech disorders while they perform articulation exercises for speech therapy purposes. With this data availability, a convolutional neural network has been trained to spot a small number of keywords within atypical speech, according to a speaker dependent method. Finally, we discuss the benefits of the trained ASR system in tailored telerehabilitation contexts intended for patients with dysarthria who can follow treatment plans under the supervision of remote speech language pathologists.
    MeSH term(s) Deep Learning ; Dysarthria ; Humans ; Speech Disorders ; Speech Recognition Software ; Speech Therapy ; Telerehabilitation
    Language English
    Publishing date 2022-07-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2022.105864
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Promising Materials in the Fight against Healthcare-Associated Infections: Antibacterial Properties of Chitosan-Polyhedral Oligomeric Silsesquioxanes Hybrid Hydrogels.

    Laganà, Antonio / Facciolà, Alessio / Iannazzo, Daniela / Celesti, Consuelo / Polimeni, Evelina / Biondo, Carmelo / Di Pietro, Angela / Visalli, Giuseppa

    Journal of functional biomaterials

    2023  Volume 14, Issue 8

    Abstract: New technologies and materials could help in this fight against healthcare-associated infections. As the majority of these infections are caused by antibiotic-resistant bacteria, the development of materials with intrinsic antibacterial properties is a ... ...

    Abstract New technologies and materials could help in this fight against healthcare-associated infections. As the majority of these infections are caused by antibiotic-resistant bacteria, the development of materials with intrinsic antibacterial properties is a promising field of research. We combined chitosan (CS), with antibacterial properties, with polyhedral oligomeric silsesquioxanes (POSS), a biocompatible polymer with physico-chemical, mechanical, and rheological properties, creating a hydrogel using cross-linking agent genipin. The antibacterial properties of CS and CS-POSS hydrogels were investigated against nosocomial Gram-positive and Gram-negative bacteria both in terms of membrane damage and surface charge variations, and finally, the anti-biofilm property was studied through confocal microscopy. Both materials showed a good antibacterial capacity against all analyzed strains, both in suspension, with % decreases between 36.36 and 73.58 for CS and 29.86 and 66.04 for CS-POSS, and in plates with % decreases between 55.29 and 78.32 and 17.00 and 53.99 for CS and CS-POSS, respectively. The treated strains compared to the baseline condition showed an important membrane damage, which also determined a variation of surface charges, and finally, for both hydrogels, a remarkable anti-biofilm property was highlighted. Our findings showed a possible future use of these biocompatible materials in the manufacture of medical and surgical devices with intrinsic antibacterial and anti-biofilm properties.
    Language English
    Publishing date 2023-08-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2648525-4
    ISSN 2079-4983
    ISSN 2079-4983
    DOI 10.3390/jfb14080428
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Benefits of Telerehabilitation for Patients With Severe Acquired Brain Injury: Promising Results From a Multicenter Randomized Controlled Trial Using Nonimmersive Virtual Reality.

    Calabrò, Rocco Salvatore / Bonanno, Mirjam / Torregrossa, William / Cacciante, Luisa / Celesti, Antonio / Rifici, Carmela / Tonin, Paolo / De Luca, Rosaria / Quartarone, Angelo

    Journal of medical Internet research

    2023  Volume 25, Page(s) e45458

    Abstract: Background: In neurorehabilitation, the use of innovative technologies offers many opportunities to monitor and improve the health status of patients with severe acquired brain injury (SABI). Telerehabilitation allows for continuity of service through ... ...

    Abstract Background: In neurorehabilitation, the use of innovative technologies offers many opportunities to monitor and improve the health status of patients with severe acquired brain injury (SABI). Telerehabilitation allows for continuity of service through the entire rehabilitation cycle, including assessment, intervention, consultation, and education, affording early reintegration and positively enhancing the quality of life (QoL).
    Objective: The main purpose of this multicenter randomized controlled trial was to test the effectiveness of advanced training provided using a nonimmersive virtual reality rehabilitation system (ie, the VRRS HomeKit device) in improving functional outcomes in patients with SABI.
    Methods: In total, 40 patients with SABI and their 40 caregivers visiting 2 Italian rehabilitation centers were enrolled in the study protocol and randomized into 2 groups. Of the 40 patients, 20 (50%) underwent the experimental training using the VRRS HomeKit (teleneuro-VRRS group), whereas the other 20 (50%) were administered usual territorial rehabilitative treatments (UTRTs; control group). To investigate motor and neuropsychological functioning, patients with SABI were evaluated before (T0) and at the end of (T1) each training session by a multispecialist team through a complete clinical and psychometric battery: the Barthel Index (BI), the Tinetti Scale (TS), the Modified Ashworth Scale (MAS), the Montreal Cognitive Assessment (MoCa), the Frontal Assessment Battery (FAB), the Beck Depression Inventory II (BDI-II), the Short Form Health Survey 36 (SF-36), and the Psychological General Well-Being Index (PGWBI). In addition, the Caregiver Burden Inventory (CBI) was administered to each caregiver to investigate the emotional burden status.
    Results: The teleneuro-VRRS group achieved a statistically significant improvement in both general and motor outcomes, as well as psychological well-being and QoL, compared to the control group. In particular, the BI (P<.001), FAB (P<.001), and BDI-II (P<.001) were the outcome scales with the best improvement. The burden of caregivers also significantly improved in the teleneuro-VRRS group (CBI; P<.004). Between-group analysis showed statistical differences in the anxiety (effect size [ES]=0.85, P<.02) and self-control (ES=0.40, P<.03) subtests of the PGWBI and in the social role functioning (ES=0.85, P<.02) subtest of the SF-36, confirmed by quite medium and large ESs.
    Conclusions: Our results suggest that the VRRS is a suitable alternative tool or complementary tool or both to improve motor (level of functional independence) and cognitive (frontal/executive abilities) outcomes, reducing behavioral alterations (anxiety and depression symptoms) in patients with SABI, with a beneficial impact also on the caregivers' burden distress management, mitigating distress and promoting positive aspects of caring.
    Trial registration: ClinicalTrials.gov NCT03709875; https://classic.clinicaltrials.gov/ct2/show/NCT03709875.
    MeSH term(s) Humans ; Brain Injuries/rehabilitation ; Health Status ; Patients ; Quality of Life ; Telerehabilitation/methods ; Neurological Rehabilitation
    Language English
    Publishing date 2023-08-21
    Publishing country Canada
    Document type Randomized Controlled Trial ; Multicenter Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2028830-X
    ISSN 1438-8871 ; 1438-8871
    ISSN (online) 1438-8871
    ISSN 1438-8871
    DOI 10.2196/45458
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Are Next-Generation Sequencing Tools Ready for the Cloud?

    Celesti, Antonio / Celesti, Fabrizio / Fazio, Maria / Bramanti, Placido / Villari, Massimo

    Trends in biotechnology

    2017  Volume 35, Issue 6, Page(s) 486–489

    Abstract: Cloud-based next-generation sequencing (NGS) tools are currently at an early stage. In this Forum article, we provide a clear picture of the current cloud-based NGS solutions and highlight what is still missing, along with future challenges for the ... ...

    Abstract Cloud-based next-generation sequencing (NGS) tools are currently at an early stage. In this Forum article, we provide a clear picture of the current cloud-based NGS solutions and highlight what is still missing, along with future challenges for the achievement of an ecosystem of biotechnology clouds.
    Language English
    Publishing date 2017-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 47474-5
    ISSN 1879-3096 ; 0167-7799
    ISSN (online) 1879-3096
    ISSN 0167-7799
    DOI 10.1016/j.tibtech.2017.03.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Artificial Intelligence for Health

    Antonio Celesti / Ivanoe De Falco / Antonino Galletta / Giovanna Sannino

    Computers, Vol 10, Iss 100, p

    2021  Volume 100

    Abstract: Health is one of the major research topics that has been attracting cross-disciplinary research groups [.] ...

    Abstract Health is one of the major research topics that has been attracting cross-disciplinary research groups [.]
    Keywords n/a ; Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2021-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Infrared Monitoring of Oxygenation Process Generated by Robotic Verticalization in Bedridden People.

    Lay-Ekuakille, Aime / Chiffi, Cosimo / Celesti, Antonio / Rahman, Md Zia Ur / Singh, Satya P

    IEEE sensors journal

    2021  Volume 21, Issue 13, Page(s) 14426–14433

    Abstract: Bedridden people, especially at home, suffer from diverse pathologies beyond the main one that brings them to a specific position. Long-term cares are suitable at home to avoid congestions within hospital facilities. There are different technologies ... ...

    Abstract Bedridden people, especially at home, suffer from diverse pathologies beyond the main one that brings them to a specific position. Long-term cares are suitable at home to avoid congestions within hospital facilities. There are different technologies available to improve such people's conditions in their daily life. The standing posture is the key solution to enhance people's wellness amid the psychological burden due to the almost impossibility to be completely healed. The paper proposes the use of a polyfunctional and robotic bed capable of displaying many positions namely vertical, tilting, anti-trendelenburg with necessary graduation. A three-year monitoring of a patient, using a polyfunctional and robotic bed, suffering from amyotrophic lateral sclerosis (ALS), has been investigated. Different physiological parameters have been measured and, particularly, the variation of temperature has been measured in presence of body position connected to the robotic bed rotation that provokes biomechanical effort. It is demonstrated that certain body positions correspond to major and minor physical effort, hence major and minor oxygenation. An infrared camera has been used. As a positive result, the variation of posture has been delaying the increase of the pathological signs, because of better conditions.
    Language English
    Publishing date 2021-03-25
    Publishing country United States
    Document type Journal Article
    ISSN 1530-437X
    ISSN 1530-437X
    DOI 10.1109/JSEN.2021.3068670
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Recent Considerations on Gaming Console Based Training for Multiple Sclerosis Rehabilitation.

    Celesti, Antonio / Cimino, Vincenzo / Naro, Antonino / Portaro, Simona / Fazio, Maria / Villari, Massimo / Calabró, Rocco Salvatore

    Medical sciences (Basel, Switzerland)

    2022  Volume 10, Issue 1

    Abstract: Multiple Sclerosis (MS) is a well-known, chronic demyelinating disease of the Central Nervous System (CNS) and one of the most common causes of disability in young adults. In this context, one of the major challenges in patients' rehabilitation is to ... ...

    Abstract Multiple Sclerosis (MS) is a well-known, chronic demyelinating disease of the Central Nervous System (CNS) and one of the most common causes of disability in young adults. In this context, one of the major challenges in patients' rehabilitation is to maintain the gained motor abilities in terms of functional independence. This could be partially obtained by applying new emerging and cutting-edge virtual/augmented reality and serious game technologies for a playful, noninvasive treatment that was demonstrated to be quite efficient and effective in enhancing the clinical status of patients and their (re)integration into society. Recently, Cloud computing and Internet of Things (IoT) emerged as technologies that can potentially revolutionize patients' care. To achieve such a goal, a system that on one hand gathers patients' clinical parameters through a network of medical IoT devices equipped with sensors and that, on the other hand, sends the collected data to a hospital Cloud for processing and analytics is required. In this paper, we assess the effectiveness of a Nintendo Wii Fit
    MeSH term(s) Humans ; Multiple Sclerosis/therapy ; Pilot Projects ; Postural Balance/physiology ; Quality of Life ; Video Games ; Young Adult
    Language English
    Publishing date 2022-02-11
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2754473-4
    ISSN 2076-3271 ; 2076-3271
    ISSN (online) 2076-3271
    ISSN 2076-3271
    DOI 10.3390/medsci10010013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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