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3,130 results on '"BRAMANTI, PLACIDO"'

3. Long-term effectiveness of natalizumab in secondary progressive multiple sclerosis: A propensity-matched study

Author

Avolio, Carlo, Balgera, Roberto, Banfi, Paola, Bellantonio, Paolo, Bramanti, Placido, Capone, Lorenzo, Cavalletti, Guido, Chiveri, Luca, Clerici, Raffaella, Clerico, Marinella, Corea, Francesco, Dattola, Vincenzo, De Robertis, Francesca, Di Battista, Giancarlo, Galgani, Simonetta, Gatto, Maurizia, Grasso, Maria Grazia, Inglese, Matilde, Lo Russo, Lorenzo, Logullo, Francesco Ottavio, Mantegazza, Renato, Protti, Alessandra, Rezzonico, Monica, Rottoli, Mariarosa, Salvetti, Marco, Scarpini, Elio, Sinisi, Leonardo, Sparaco, Maddalena, Spitaleri, Daniele, Tassinari, Tiziana, Tonietti, Simone, Valentino, Paola, Valzania, Franco, Venturi, Simonetta, Chisari, Clara G., Aguglia, Umberto, Amato, Maria Pia, Bergamaschi, Roberto, Bertolotto, Antonio, Bonavita, Simona, Morra, Vincenzo Brescia, Cavalla, Paola, Cocco, Eleonora, Conte, Antonella, Cottone, Salvatore, De Luca, Giovanna, Di Sapio, Alessia, Filippi, Massimo, Gallo, Antonio, Gasperini, Claudio, Granella, Franco, Lus, Giacomo, Maimone, Davide, Maniscalco, Giorgia Teresa, Marfia, Girolama, Moiola, Lucia, Paolicelli, Damiano, Pesci, Ilaria, Ragonese, Paolo, Rovaris, Marco, Salemi, Giuseppe, Solaro, Claudio, Totaro, Rocco, Trojano, Maria, Vianello, Marika, Zaffaroni, Mauro, Lepore, Vito, and Patti, Francesco

Published
2024
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5. Transcriptional landscape of SARS-CoV-2 infection dismantles pathogenic pathways activated by the virus, proposes unique sex-specific differences and predicts tailored therapeutic strategies

Author

Fagone, Paolo, Ciurleo, Rosella, Lombardo, Salvo Danilo, Iacobello, Carmelo, Palermo, Concetta Ilenia, Shoenfeld, Yehuda, Bendtzen, Klaus, Bramanti, Placido, and Nicoletti, Ferdinando

Subjects
Quantitative Biology - Cell Behavior
Abstract

The emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease (COVID-19) has posed a serious threat to global health. As no specific therapeutics are yet available to control disease evolution, more in-depth understanding of the pathogenic mechanisms induced by SARS-CoV-2 will help to characterize new targets for the management of COVID-19. The present study identified a specific set of biological pathways altered in primary human lung epithelium upon SARS-CoV-2 infection, and a comparison with SARS-CoV from the 2003 pandemic was studied. The transcriptomic profiles were also exploited as possible novel therapeutic targets, and anti-signature perturbation analysis predicted potential drugs to control disease progression. Among them, Mitogen-activated protein kinase kinase (MEK), serine-threonine kinase (AKT), mammalian target of rapamycin (mTOR) and I kappa B Kinase (IKK) inhibitors emerged as candidate drugs. Finally, sex-specific differences that may underlie the higher COVID-19 mortality in men are proposed.

Published
2020

7. Long-term effectiveness of natalizumab in secondary progressive multiple sclerosis: A propensity-matched study

Author

Chisari, Clara G., primary, Aguglia, Umberto, additional, Amato, Maria Pia, additional, Bergamaschi, Roberto, additional, Bertolotto, Antonio, additional, Bonavita, Simona, additional, Morra, Vincenzo Brescia, additional, Cavalla, Paola, additional, Cocco, Eleonora, additional, Conte, Antonella, additional, Cottone, Salvatore, additional, De Luca, Giovanna, additional, Di Sapio, Alessia, additional, Filippi, Massimo, additional, Gallo, Antonio, additional, Gasperini, Claudio, additional, Granella, Franco, additional, Lus, Giacomo, additional, Maimone, Davide, additional, Maniscalco, Giorgia Teresa, additional, Marfia, Girolama, additional, Moiola, Lucia, additional, Paolicelli, Damiano, additional, Pesci, Ilaria, additional, Ragonese, Paolo, additional, Rovaris, Marco, additional, Salemi, Giuseppe, additional, Solaro, Claudio, additional, Totaro, Rocco, additional, Trojano, Maria, additional, Vianello, Marika, additional, Zaffaroni, Mauro, additional, Lepore, Vito, additional, Patti, Francesco, additional, Avolio, Carlo, additional, Balgera, Roberto, additional, Banfi, Paola, additional, Bellantonio, Paolo, additional, Bramanti, Placido, additional, Capone, Lorenzo, additional, Cavalletti, Guido, additional, Chiveri, Luca, additional, Clerici, Raffaella, additional, Clerico, Marinella, additional, Corea, Francesco, additional, Dattola, Vincenzo, additional, De Robertis, Francesca, additional, Di Battista, Giancarlo, additional, Galgani, Simonetta, additional, Gatto, Maurizia, additional, Grasso, Maria Grazia, additional, Inglese, Matilde, additional, Lo Russo, Lorenzo, additional, Logullo, Francesco Ottavio, additional, Mantegazza, Renato, additional, Protti, Alessandra, additional, Rezzonico, Monica, additional, Rottoli, Mariarosa, additional, Salvetti, Marco, additional, Scarpini, Elio, additional, Sinisi, Leonardo, additional, Sparaco, Maddalena, additional, Spitaleri, Daniele, additional, Tassinari, Tiziana, additional, Tonietti, Simone, additional, Valentino, Paola, additional, Valzania, Franco, additional, and Venturi, Simonetta, additional

Published
2024
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11. Technological Developments, Exercise Training Programs, and Clinical Outcomes in Cardiac Telerehabilitation in the Last Ten Years: A Systematic Review.

Author

Garofano, Marina, Vecchione, Carmine, Calabrese, Mariaconsiglia, Rusciano, Maria Rosaria, Visco, Valeria, Granata, Giovanni, Carrizzo, Albino, Galasso, Gennaro, Bramanti, Placido, Corallo, Francesco, Izzo, Carmine, Ciccarelli, Michele, and Bramanti, Alessia

Subjects
CARDIOVASCULAR disease related mortality, HEALTH services accessibility, HUMAN services programs, DIFFUSION of innovations, COST effectiveness, EXERCISE therapy, HOSPITAL care, MEDICAL care, TELEREHABILITATION, TREATMENT effectiveness, POPULATION geography, DESCRIPTIVE statistics, SYSTEMATIC reviews, MEDLINE, TECHNOLOGY, ONLINE information services, CORONARY artery disease, CARDIAC rehabilitation
Abstract

Background: Cardiovascular diseases (CVDs) are associated with very high rates of re-hospitalization and mortality worldwide, so the complexity of these pathologies requires frequent access to hospital facilities. The guidelines also emphasize the importance of cardiac rehabilitation (CR) programs, which have demonstrated a favorable effect on outcomes, and cardiac telerehabilitation (CTR) could represent an innovative healthcare delivery model. The aim of our review is to study how technologies used in rehabilitation have changed over time and also to understand what types of rehabilitation programs have been used in telerehabilitation. Methods: We searched randomized controlled trials (RCTs) in three electronic databases, PubMed, Web of Science, and Scopus, from January 2015 to January 2024, using relevant keywords. Initially, 502 articles were found, and 79 duplicates were identified and eliminated with EndNote. Results: In total, 16 RCTs fulfilled the pre-defined criteria, which were analyzed in our systematic review. The results showed that after CTR, there was a significant improvement in main outcome measures, as well as in relation to technological advances. Conclusions: Moreover, compared to center-based rehabilitation, CTR can offer further advantages, with better cost-effectiveness, the breakdown of geographical barriers, and the improvement of access to treatment for the female population, which is traditionally more socially committed. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Artificial Intelligence and Heart-Brain Connections: A Narrative Review on Algorithms Utilization in Clinical Practice.

Author

Micali, Giuseppe, Corallo, Francesco, Pagano, Maria, Giambò, Fabio Mauro, Duca, Antonio, D'Aleo, Piercataldo, Anselmo, Anna, Bramanti, Alessia, Garofano, Marina, Mazzon, Emanuela, Bramanti, Placido, and Cappadona, Irene

Subjects
ATRIAL fibrillation diagnosis, MEDICAL information storage & retrieval systems, RANDOM forest algorithms, CARDIOLOGY, RESEARCH funding, ARTIFICIAL intelligence, LOGISTIC regression analysis, RESEARCH evaluation, MEDLINE, SUPPORT vector machines, NEUROLOGY, MEDICAL databases, ARTIFICIAL neural networks, ONLINE information services, MACHINE learning, ALGORITHMS
Abstract

Cardiovascular and neurological diseases are a major cause of mortality and morbidity worldwide. Such diseases require careful monitoring to effectively manage their progression. Artificial intelligence (AI) offers valuable tools for this purpose through its ability to analyse data and identify predictive patterns. This review evaluated the application of AI in cardiac and neurological diseases for their clinical impact on the general population. We reviewed studies on the application of AI in the neurological and cardiological fields. Our search was performed on the PubMed, Web of Science, Embase and Cochrane library databases. Of the initial 5862 studies, 23 studies met the inclusion criteria. The studies showed that the most commonly used algorithms in these clinical fields are Random Forest and Artificial Neural Network, followed by logistic regression and Support-Vector Machines. In addition, an ECG-AI algorithm based on convolutional neural networks has been developed and has been widely used in several studies for the detection of atrial fibrillation with good accuracy. AI has great potential to support physicians in interpretation, diagnosis, risk assessment and disease management. [ABSTRACT FROM AUTHOR]

Published
2024
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13. Long-lasting improvements in episodic memory among subjects with mild cognitive impairment who received transcranial direct current stimulation combined with cognitive treatment and telerehabilitation: a multicentre, randomized, active-controlled study.

Author

Manenti, Rosa, Baglio, Francesca, Pagnoni, Ilaria, Gobbi, Elena, Campana, Elena, Alaimo, Cristina, Rossetto, Federica, Di Tella, Sonia, Pagliari, Chiara, Geviti, Andrea, Bonfiglio, Natale Salvatore, Calabrò, Rocco Salvatore, Cimino, Vincenzo, Binetti, Giuliano, Quartarone, Angelo, Bramanti, Placido, Cappa, Stefano F., and Cotelli, Paolo Maria Rossini Maria

Subjects
HOME care services, MILD cognitive impairment, RESEARCH funding, EPISODIC memory, PREFRONTAL cortex, STATISTICAL sampling, QUESTIONNAIRES, EXECUTIVE function, KRUSKAL-Wallis Test, TELEREHABILITATION, TREATMENT effectiveness, RANDOMIZED controlled trials, CHI-squared test, VIRTUAL reality, ATTENTION, COMBINED modality therapy, RESEARCH, GERIATRIC Depression Scale, NEUROPSYCHOLOGICAL tests, ANALYSIS of variance, COGNITIVE therapy, COGNITION
Abstract

Background: In recent years, an increasing number of studies have examined the potential efficacy of cognitive training procedures in individuals with normal ageing and mild cognitive impairment (MCI). Objective: The aims of this study were to (i) evaluate the efficacy of the cognitive Virtual Reality Rehabilitation System (VRRS) combined with anodal transcranial direct current stimulation (tDCS) applied to the left dorsolateral prefrontal cortex compared to placebo tDCS stimulation combined with VRRS and (ii) to determine how to prolong the beneficial effects of the treatment. A total of 109 subjects with MCI were assigned to 1 of 5 study groups in a randomized controlled trial design: (a) face-to-face (FTF) VRRS during anodal tDCS followed by cognitive telerehabilitation (TR) (clinic-atDCS-VRRS+Tele@H-VRRS); (b) FTF VRRS during placebo tDCS followed by TR (clinic-ptDCS-VRRS+Tele@H-VRRS); (c) FTF VRRS followed by cognitive TR (clinic-VRRS+Tele@H-VRRS); (d) FTF VRRS followed by at-home unstructured cognitive stimulation (clinic-VRRS+@H-UCS); and (e) FTF cognitive treatment as usual (clinic-TAU). Results: An improvement in episodic memory was observed after the end of clinic-atDCS-VRRS (p < 0.001). We found no enhancement in episodic memory after clinic-ptDCS-VRRS or after clinic-TAU. Moreover, the combined treatment led to prolonged beneficial effects (clinicatDCS- VRRS+Tele@H-VRRS vs. clinic-ptDCS-VRRS+Tele@H-VRRS: p = 0.047; clinic-atDCS-VRRS+Tele@H-VRRS vs. clinic-VRRS+Tele@H-VRRS: p = 0.06). Discussion: The present study provides preliminary evidence supporting the use of individualized VRRS combined with anodal tDCS and cognitive telerehabilitation for cognitive rehabilitation. [ABSTRACT FROM AUTHOR]

Published
2024
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14. Optimisation of Remote Monitoring Programmes in Heart Failure: Evaluation of Patient Drop-Out Behaviour and Healthcare Professionals' Perspectives.

Author

Pagano, Maria, Corallo, Francesco, Anselmo, Anna, Giambò, Fabio Mauro, Micali, Giuseppe, Duca, Antonio, D'Aleo, Piercataldo, Bramanti, Alessia, Garofano, Marina, Bramanti, Placido, and Cappadona, Irene

Subjects
BEHAVIORAL assessment, SCALE analysis (Psychology), HEALTH services accessibility, RESEARCH funding, MEDICAL technology, INTERVIEWING, SOCIOECONOMIC factors, HEART failure, POPULATION geography, AGE distribution, ANXIETY, TELEMEDICINE, MEDICAL consultation, ATTITUDES of medical personnel, RESEARCH methodology, PATIENT-professional relations, PATIENT satisfaction, SOCIAL support, CARDIAC rehabilitation, MENTAL depression
Abstract

Heart failure (HF) is a growing epidemic, affecting millions of people worldwide, and is a major cause of mortality, morbidity, and impaired quality of life. Traditional cardiac rehabilitation is a valuable approach to the physical and quality-of-life recovery of patients with cardiovascular disease. The innovative approach of remote monitoring through telemedicine offers a solution based on modern technologies, enabling continuous collection of health data outside the hospital environment. Remote monitoring devices present challenges that could adversely affect patient adherence, resulting in the risk of dropout. By applying a cognitive-behavioral model, we aim to identify the antecedents of dropout behavior among patients adhering to traditional cardiac rehabilitation programs and remote monitoring in order to improve the latter. Our study was conducted from October 2023 to January 2024. In the first stage, we used data from literature consultation. Subsequently, data were collected from the direct experience of 49 health workers related to both remote monitoring and traditional treatment, recruited from the authors' workplace. Results indicate that patients with cardiovascular disease tend to abandon remote monitoring programs more frequently than traditional cardiac rehabilitation therapies. It is critical to design approaches that take these barriers into account to improve adherence and patient satisfaction. This analysis identified specific antecedents to address, helping to improve current monitoring models. This is crucial to promote care continuity and to achieve self-management by patients in the future. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Big Data HIS of the IRCCS-ME Future: The Osmotic Computing Infrastructure

Author

Carnevale, Lorenzo, Galletta, Antonino, Celesti, Antonio, Fazio, Maria, Paone, Maurizio, Bramanti, Placido, Villari, Massimo, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Longo, Antonella, editor, Zappatore, Marco, editor, Villari, Massimo, editor, Rana, Omer, editor, Bruneo, Dario, editor, Ranjan, Rajiv, editor, Fazio, Maria, editor, and Massonet, Philippe, editor

Published
2018
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33. An Internet- and Kinect-Based Multiple Sclerosis Fitness Intervention Training With Pilates Exercises: Development and Usability Study

Author

Tacchino, Andrea, primary, Ponzio, Michela, additional, Confalonieri, Paolo, additional, Leocani, Letizia, additional, Inglese, Matilde, additional, Centonze, Diego, additional, Cocco, Eleonora, additional, Gallo, Paolo, additional, Paolicelli, Damiano, additional, Rovaris, Marco, additional, Sabattini, Loredana, additional, Tedeschi, Gioacchino, additional, Prosperini, Luca, additional, Patti, Francesco, additional, Bramanti, Placido, additional, Pedrazzoli, Elisabetta, additional, Battaglia, Mario Alberto, additional, and Brichetto, Giampaolo, additional

Published
2023
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34. Heart Disorder Detection with Menard Algorithm on Apache Spark

Author

Carnevale, Lorenzo, Celesti, Antonio, Fazio, Maria, Bramanti, Placido, Villari, Massimo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, De Paoli, Flavio, editor, Schulte, Stefan, editor, and Broch Johnsen, Einar, editor

Published
2017
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