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  1. Article ; Online: Decentralization of Clinical Trials: Opportunities, Risks and Development Paths.

    Crepaldi, Chiara / Venturi, Alessandro / Brogonzoli, Luisa / Iardino, Maria Rosaria

    Studies in health technology and informatics

    2023  Volume 305, Page(s) 269–272

    Abstract: The pandemic period represented, from many points of view, an opportunity for the updating of research processes, simplifying paths and highlighting the need to reflect on new ways of designing and organizing clinical trials. Starting from a literature ... ...

    Abstract The pandemic period represented, from many points of view, an opportunity for the updating of research processes, simplifying paths and highlighting the need to reflect on new ways of designing and organizing clinical trials. Starting from a literature analysis, a multidisciplinary working group composed of clinicians, patient representatives, university professors, researchers and experts in the field of health policy, ethics applied to health, digital health, logistics confronted with respect to the positive aspects, critical issues and risks that decentralization and digitalization can imply for the different target groups. The working group proposed feasibility guidelines of decentralized protocols for Italy, developing reflections that may be relevant also for other European countries.
    MeSH term(s) Humans ; Europe ; Faculty ; Health Policy ; Interdisciplinary Studies ; Politics ; Clinical Trials as Topic
    Language English
    Publishing date 2023-04-17
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230480
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Editorial: New frontiers in pancreatic cancer care: Multidisciplinary approaches, the role of Pancreas Units, and their organizational impacts.

    Cobianchi, Lorenzo / Dal Mas, Francesca / Denicolai, Stefano / Previtali, Pietro / Venturi, Alessandro

    Frontiers in surgery

    2023  Volume 10, Page(s) 1182206

    Language English
    Publishing date 2023-03-23
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2773823-1
    ISSN 2296-875X
    ISSN 2296-875X
    DOI 10.3389/fsurg.2023.1182206
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Standardization Proposal for the Transmission of Waiting List Data in Italy.

    Murgia, Ylenia / Bonetto, Monica / Gazzarata, Roberta / Brogonzoli, Luisa / Iardino, Rosaria / Venturi, Alessandro / Giacomini, Mauro

    Studies in health technology and informatics

    2023  Volume 302, Page(s) 846–850

    Abstract: Each Italian region is required to manage and disclose data relating to waiting times for healthcare services which are provided by both public and private hospitals and local health units accredited to the Sistema Sanitario Nazionale (SSN - in English, ... ...

    Abstract Each Italian region is required to manage and disclose data relating to waiting times for healthcare services which are provided by both public and private hospitals and local health units accredited to the Sistema Sanitario Nazionale (SSN - in English, National Healthcare System). The current law governing data relating to waiting times and their sharing is the Piano Nazionale di Governo delle Liste di Attesa (PNGLA - in English National Government Plan for Waiting Lists). However, this plan does not propose a standard to monitor such data, but only provides a few guidelines that the Italian regions are required to follow. The lack of a specific technical standard for managing sharing of waiting list data and the lack of precise and binding information in the PNGLA make the management and transmission of such data problematic, reducing the interoperability necessary to have an effective and efficient monitoring of the phenomenon. The proposal for a new standard for the transmission of waiting list data derives from these shortcomings. This proposed standard promotes greater interoperability, is easy to create with an implementation guide, and has sufficient degrees of freedom to assist the document author.
    MeSH term(s) Waiting Lists ; Delivery of Health Care ; Italy ; Health Services
    Language English
    Publishing date 2023-05-19
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230287
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Vaccination strategies for high-risk and fragile populations in Lombardy (Italy): a region-wide assessment of hospital-based models and best practices.

    Odone, Anna / Vecchio, Riccardo / Brogonzoli, Luisa / Sala, Elisa / Vigezzi, Giacomo Pietro / Muzzi, Alba / Borriello, Catia Rosanna / Cereda, Danilo / Rizzardini, Giuliano / Venturi, Alessandro / Iardino, Rosaria

    Annali di igiene : medicina preventiva e di comunita

    2024  Volume 36, Issue 2, Page(s) 215–226

    Abstract: Background: Subjects with selected underlying medical conditions are at higher risk of infection and severe outcomes from vaccines preventable diseases. While most countries adopt life-course approaches to vaccination, high-risk group immunization ... ...

    Abstract Background: Subjects with selected underlying medical conditions are at higher risk of infection and severe outcomes from vaccines preventable diseases. While most countries adopt life-course approaches to vaccination, high-risk group immunization programmes could maximize individual protection, while contributing to population health. The COVID-19 pandemic stimulated the planning and implementation of successful hospital-based high-risk groups' immunization models. However, in Italy, high-risk subjects' vaccine coverage is not actively monitored at the national or regional level, nor shared guidelines exist yet on hospital-based immunization programmes.
    Study design: The study reports findings from a region-wide assessment of the availability, characteristics, and setting-specific features of hospital-based immunization programmes for high-risk subjects in the Lombardy region.
    Methods: Fondazione The Bridge a not-for-profit organization based in Milan, in collaboration with the Prevention Unit of the Lombardy Region Directorate for Welfare, and the University of Pavia coordinated a project aimed at bringing together regional health institutions, key stakeholders, academic experts, scientific societies and patients' associations to assess high-risk subjects' barriers to vaccine uptake and inform preventive programmes and policies. In this context, we designed and implemented a survey to systematically map the existence and characteristics of hospital-based immunization programmes targeting high-risk subjects. The survey was proposed to all 115 hospital medical directions of the Lombardy region.
    Results: We collected data from 97 hospital medical directions, with a response rate of 85%. Among respondents, 24% were publi-cly managed hospitals, 17% were Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) and 59% accredited private hospitals. Overall, 51.5% facilities in the Lombardy Region reported to actively administer vaccines to high-risk subjects in hospital settings, the prevalence being 89.6% in public hospitals. Among hospitals where vaccines are actively administered, 46% reported to have centralized vaccines ambulatory clinics, while 54% reported to administer vaccines in the context of inpa-tient care, within clinical wards. In 14% of hospitals vaccination counselling is carried out at the hospital level, while patients are referred to community services for the vaccine administration, 58% have established clinical pathways and formalized internal procedures to integrate vaccine prevention within the clinical care.
    Conclusions: Half of hospital facilities in the Lombardy Region administer vaccines to high-risk patients. Hospital-based im-munization models vary widely by vaccines programmes, organizational aspects, vaccines procurement and workforce involved. Identifying best practices and effective models can help tackle current challenges and improve immunization coverage for at-risk groups.
    MeSH term(s) Humans ; Pandemics/prevention & control ; Immunization Programs ; Vaccination ; Vaccines ; Italy/epidemiology ; Hospitals
    Chemical Substances Vaccines
    Language English
    Publishing date 2024-01-31
    Publishing country Italy
    Document type Evaluation Study
    ZDB-ID 1018045-x
    ISSN 1120-9135 ; 0029-6287
    ISSN 1120-9135 ; 0029-6287
    DOI 10.7416/ai.2024.2607
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems

    Venturi, Andrea / Apruzzese, Giovanni / Andreolini, Mauro / Colajanni, Michele / Marchetti, Mirco

    Data in Brief. 2021 Feb., v. 34

    2021  

    Abstract: We present the first dataset that aims to serve as a benchmark to validate the resilience of botnet detectors against adversarial attacks. This dataset includes realistic adversarial samples that are generated by leveraging two widely used Deep ... ...

    Abstract We present the first dataset that aims to serve as a benchmark to validate the resilience of botnet detectors against adversarial attacks. This dataset includes realistic adversarial samples that are generated by leveraging two widely used Deep Reinforcement Learning (DRL) techniques. These adversarial samples are proved to evade state of the art detectors based on Machine- and Deep-Learning algorithms. The initial corpus of malicious samples consists of network flows belonging to different botnet families presented in three public datasets containing real enterprise network traffic. We use these datasets to devise detectors capable of achieving state-of-the-art performance. We then train two DRL agents, based on Double Deep Q-Network and Deep Sarsa, to generate realistic adversarial samples: the goal is achieving misclassifications by performing small modifications to the initial malicious samples. These alterations involve the features that can be more realistically altered by an expert attacker, and do not compromise the underlying malicious logic of the original samples. Our dataset represents an important contribution to the cybersecurity research community as it is the first including thousands of automatically generated adversarial samples that are able to thwart state of the art classifiers with a high evasion rate. The adversarial samples are grouped by malware variant and provided in a CSV file format. Researchers can validate their defensive proposals by testing their detectors against the adversarial samples of the proposed dataset. Moreover, the analysis of these samples can pave the way to a deeper comprehension of adversarial attacks and to some sort of explainability of machine learning defensive algorithms. They can also support the definition of novel effective defensive techniques.
    Keywords business enterprises ; computer security ; data collection
    Language English
    Dates of publication 2021-02
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 2786545-9
    ISSN 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2020.106631
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: Italian viticulture

    Boselli M. / Catena M. / Tempesta G. / Fiorilo M. / Venturi A.

    BIO Web of Conferences, Vol 12, p

    A multi-faceted model of development and regression

    2019  Volume 03019

    Abstract: Wine can be considered a niche product on the drinks market, due to the annual turnover it generates and the dispersion of the productive matrix which controls its production. However, it takes on a symbolic value compared to other drinks and boasts a ... ...

    Abstract Wine can be considered a niche product on the drinks market, due to the annual turnover it generates and the dispersion of the productive matrix which controls its production. However, it takes on a symbolic value compared to other drinks and boasts a unique link with the territory. Typicity translated into territorial values has brought about the success of winemaking regions of great national and international fame. However, it is necessary to communicate the values and adopt the consequent measures for other areas in a secondary position or with an intermediate development. The value of wine ex-cellar, unbottled and before vat has been analyzed taking into account production in different market segments, a basic element for estimating the value of the GSP per hectare of vineyard. This paper is based on the study of physical, economic and motivational parameters that determine the primary value, the cause for consolidating or abandoning winegrowing. Decisions made by the vinegrower translate into nursery demand which, in turn, determines the varieties and surface areas of the future vineyard.
    Keywords Microbiology ; QR1-502 ; Physiology ; QP1-981 ; Zoology ; QL1-991
    Language English
    Publishing date 2019-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems.

    Venturi, Andrea / Apruzzese, Giovanni / Andreolini, Mauro / Colajanni, Michele / Marchetti, Mirco

    Data in brief

    2020  Volume 34, Page(s) 106631

    Abstract: We present the first dataset that aims to serve as a benchmark to validate the resilience of botnet detectors against adversarial attacks. This dataset includes realistic adversarial samples that are generated by leveraging two widely used Deep ... ...

    Abstract We present the first dataset that aims to serve as a benchmark to validate the resilience of botnet detectors against adversarial attacks. This dataset includes realistic adversarial samples that are generated by leveraging two widely used Deep Reinforcement Learning (DRL) techniques. These adversarial samples are proved to evade state of the art detectors based on Machine- and Deep-Learning algorithms. The initial corpus of malicious samples consists of network flows belonging to different botnet families presented in three public datasets containing real enterprise network traffic. We use these datasets to devise detectors capable of achieving state-of-the-art performance. We then train two DRL agents, based on
    Language English
    Publishing date 2020-12-08
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409 ; 2352-3409
    ISSN (online) 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2020.106631
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: A case of acute onset interstitial pneumonitis in patient with spondyloarthropathy.

    Leoni, S / Venturi, A / Pini, P

    Minerva medica

    2013  Volume 104, Issue 2, Page(s) 233–235

    MeSH term(s) Alveolitis, Extrinsic Allergic/chemically induced ; Antirheumatic Agents/adverse effects ; Female ; Humans ; Methotrexate/adverse effects ; Middle Aged ; Spondylarthropathies/drug therapy
    Chemical Substances Antirheumatic Agents ; Methotrexate (YL5FZ2Y5U1)
    Language English
    Publishing date 2013-04
    Publishing country Italy
    Document type Case Reports ; Letter
    ZDB-ID 123586-2
    ISSN 1827-1669 ; 0026-4806
    ISSN (online) 1827-1669
    ISSN 0026-4806
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Geriatric Population Triage: The Risk of Real-Life Over- and Under-Triage in an Overcrowded ED: 4- and 5-Level Triage Systems Compared: The CREONTE (Crowding and R E Organization National TriagE) Study.

    Savioli, Gabriele / Ceresa, Iride Francesca / Bressan, Maria Antonietta / Bavestrello Piccini, Gaia / Novelli, Viola / Cutti, Sara / Ricevuti, Giovanni / Esposito, Ciro / Longhitano, Yaroslava / Piccioni, Andrea / Boudi, Zoubir / Venturi, Alessandro / Fuschi, Damiano / Voza, Antonio / Leo, Roberto / Bellou, Abdelouahab / Oddone, Enrico

    Journal of personalized medicine

    2024  Volume 14, Issue 2

    Abstract: Elderly patients, when they present to the emergency department (ED) or are admitted to the hospital, are at higher risk of adverse outcomes such as higher mortality and longer hospital stays. This is mainly due to their age and their increased fragility. ...

    Abstract Elderly patients, when they present to the emergency department (ED) or are admitted to the hospital, are at higher risk of adverse outcomes such as higher mortality and longer hospital stays. This is mainly due to their age and their increased fragility. In order to minimize this already increased risk, adequate triage is of foremost importance for fragile geriatric (>75 years old) patients who present to the ED. The admissions of elderly patients from 1 January 2014 to 31 December 2020 were examined, taking into consideration the presence of two different triage systems, a 4-level (4LT) and a 5-level (5LT) triage system. This study analyzes the difference in wait times and under- (UT) and over-triage (OT) in geriatric and general populations with two different triage models. Another outcome of this study was the analysis of the impact of crowding and its variables on the triage system during the COVID-19 pandemic. A total of 423,257 ED presentations were included. An increase in admissions of geriatric, more fragile, and seriously ill individuals was observed, and a progressive increase in crowding was simultaneously detected. Geriatric patients, when presenting to the emergency department, are subject to the problems of UT and OT in both a 4LT system and a 5LT system. Several indicators and variables of crowding increased, with a net increase in throughput and output factors, notably the length of stay (LOS), exit block, boarding, and processing times. This in turn led to an increase in wait times and an increase in UT in the geriatric population. It has indeed been shown that an increase in crowding results in an increased risk of UT, and this is especially true for 4LT compared to 5LT systems. When observing the pandemic period, an increase in admissions of older and more serious patients was observed. However, in the pandemic period, a general reduction in waiting times was observed, as well as an increase in crowding indices and intrahospital mortality. This study demonstrates how introducing a 5LT system enables better flow and patient care in an ED. Avoiding UT of geriatric patients, however, remains a challenge in EDs.
    Language English
    Publishing date 2024-02-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662248-8
    ISSN 2075-4426
    ISSN 2075-4426
    DOI 10.3390/jpm14020195
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Conference proceedings: Italian viticulture: A multi-faceted model of development and regression

    Boselli, M. / Catena, M. / Tempesta, G. / Fiorilo, M. / Venturi, A. / Aurand, J. M. (Ed.)

    BIO Web of Conferences

    2019  Volume 12, Issue Art. 03019, Page(s) 7 pp.

    Abstract: Wine can be considered a niche product on the drinks market, due to the annual turnover it generates and the dispersion of the productive matrix which controls its production. However, it takes on a symbolic value compared to other drinks and boasts a ... ...

    Institution Università degli Studi di Verona, Department of Biotechnology, Villa Lebrecht, Via della Pieve 70, 37029 San Floriano (VR), Italy
    Abstract Wine can be considered a niche product on the drinks market, due to the annual turnover it generates and the dispersion of the productive matrix which controls its production. However, it takes on a symbolic value compared to other drinks and boasts a unique link with the territory. Typicity translated into territorial values has brought about the success of winemaking regions of great national and international fame. However, it is necessary to communicate the values and adopt the consequent measures for other areas in a secondary position or with an intermediate development. The value of wine ex-cellar, unbottled and before vat has been analyzed taking into account production in different market segments, a basic element for estimating the value of the GSP per hectare of vineyard. This paper is based on the study of physical, economic and motivational parameters that determine the primary value, the cause for consolidating or abandoning winegrowing. Decisions made by the vinegrower translate into nursery demand which, in turn, determines the varieties and surface areas of the future vineyard.
    Language English
    Document type Conference proceedings
    ISSN 2117-4458
    Database Viticulture and Oenology Abstracts

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