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  1. Book ; Online: Software Engineering and Data Science

    Tosi, Davide

    2023  

    Keywords Information technology industries ; COVID-19 ; SARS-CoV-2 ; data analytics ; schools' impact ; Google mobility impact ; feature selection ; ontology ; text classification ; machine-learning ; SARS-COV-2 ; Bayesian regression ; changepoint detection ; European football championship ; big data ; delay-tolerant network (DTN) ; multi-attribute decision making ; public transport ; energy consumption ; software development process ; operations ; software engineering ; information system development ; team structure ; Software Library Recommendation ; graph filters ; dependency graphs ; link prediction ; n/a
    Language English
    Size 1 electronic resource (132 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030375623
    ISBN 9783036564418 ; 3036564411
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Advances in Lung Transplantation.

    Tosi, Davide / Palleschi, Alessandro

    Cells

    2023  Volume 12, Issue 6

    Abstract: Nowadays, lung transplantation is a clinical reality for the treatment of benign end-stage respiratory diseases [ ... ]. ...

    Abstract Nowadays, lung transplantation is a clinical reality for the treatment of benign end-stage respiratory diseases [...].
    MeSH term(s) Lung Transplantation ; Humans
    Language English
    Publishing date 2023-03-17
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2661518-6
    ISSN 2073-4409 ; 2073-4409
    ISSN (online) 2073-4409
    ISSN 2073-4409
    DOI 10.3390/cells12060923
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Advances in Lung Transplantation

    Davide Tosi / Alessandro Palleschi

    Cells, Vol 12, Iss 923, p

    2023  Volume 923

    Abstract: Nowadays, lung transplantation is a clinical reality for the treatment of benign end-stage respiratory diseases [.] ...

    Abstract Nowadays, lung transplantation is a clinical reality for the treatment of benign end-stage respiratory diseases [.]
    Keywords n/a ; Biology (General) ; QH301-705.5
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Editorial: Non-intubated thoracic surgery: From concepts to clinical reality.

    Furák, József / Tosi, Davide

    Frontiers in surgery

    2022  Volume 9, Page(s) 948373

    Language English
    Publishing date 2022-08-02
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2773823-1
    ISSN 2296-875X
    ISSN 2296-875X
    DOI 10.3389/fsurg.2022.948373
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Comment on: Two decades of surgical randomized controlled trials: worldwide trends in volume and methodological quality.

    Aiolfi, Alberto / Bonitta, Gianluca / Tosi, Davide / Rausa, Emanuele / Nosotti, Mario / Bona, Davide / Bonavina, Luigi

    The British journal of surgery

    2023  Volume 110, Issue 11, Page(s) 1556

    Language English
    Publishing date 2023-08-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2985-3
    ISSN 1365-2168 ; 0263-1202 ; 0007-1323 ; 1355-7688
    ISSN (online) 1365-2168
    ISSN 0263-1202 ; 0007-1323 ; 1355-7688
    DOI 10.1093/bjs/znad251
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: A real-world experience of transition to robotic-assisted thoracic surgery (RATS) for lung resections.

    Palleschi, Alessandro / Mattioni, Giovanni / Mendogni, Paolo / Tosi, Davide

    Frontiers in surgery

    2023  Volume 10, Page(s) 1127627

    Abstract: Objective: We report our experience of transition to robotic-assisted thoracic surgery (RATS) for lung resections with the da Vinci Xi surgical system, exposing short-term results.: Materials and methods: This is a single-center, retrospective ... ...

    Abstract Objective: We report our experience of transition to robotic-assisted thoracic surgery (RATS) for lung resections with the da Vinci Xi surgical system, exposing short-term results.
    Materials and methods: This is a single-center, retrospective analysis of RATS lung resections performed between April 2021 and September 2022 during our new robotic program. The surgical approach evolved over time, starting from a four-arm approach with four incisions. Alternative RATS approaches were subsequently evaluated, such as uniportal and biportal.
    Results: During a 17-month period, 29 lung resections were performed. Of them, 16 were lobectomies, 7 were segmentectomies, and 6 were wedge resections. The most common indication for anatomical lung resection was non-small cell lung cancer. A uniportal approach was used for two simple segmentectomies and a biportal RATS was performed in five lobectomies and two segmentectomies. A mean number of 8.1 lymph nodes and a mean of 2.6 N2 and 1.9 N1 stations were resected during surgery, and no nodal upstaging was observed. Negative resection margins were 100%. There were two (7%) conversions, one to open surgery and one to video-assisted thoracic surgery (VATS). Eight (28%) patients experienced complications with no 30-day mortality.
    Discussion: High-ergonomic and high-quality views were immediately observed. After some procedures, we abandoned uniportal RATS because of the possibility of arm collisions and the necessity of a VATS-skilled surgeon at the operating table.
    Conclusion: RATS for lung resections was safe and effective, and from the surgeon's standpoint, several practical advantages over VATS were observed. Further analysis on outcomes will help better understand the value of this technology.
    Language English
    Publishing date 2023-03-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2773823-1
    ISSN 2296-875X
    ISSN 2296-875X
    DOI 10.3389/fsurg.2023.1127627
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Statistical models to predict clinical outcomes with anakinra vs. tocilizumab treatments for severe pneumonia in COVID19 patients.

    Piconi, Stefania / Pontiggia, Silvia / Franzetti, Marco / Branda, Francesco / Tosi, Davide

    European journal of internal medicine

    2023  Volume 112, Page(s) 118–120

    MeSH term(s) Humans ; COVID-19 ; Interleukin 1 Receptor Antagonist Protein/therapeutic use ; COVID-19 Drug Treatment ; Pneumonia/drug therapy ; Models, Statistical ; Treatment Outcome
    Chemical Substances Interleukin 1 Receptor Antagonist Protein ; tocilizumab (I031V2H011)
    Language English
    Publishing date 2023-02-06
    Publishing country Netherlands
    Document type Letter ; Comment
    ZDB-ID 1038679-8
    ISSN 1879-0828 ; 0953-6205
    ISSN (online) 1879-0828
    ISSN 0953-6205
    DOI 10.1016/j.ejim.2023.01.024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Understanding the Geographical Spread of COVID-19 in Relation with Goods Regional Routes and Governmental Decrees: The Lombardy Region Case Study.

    Tosi, Davide / Chiappa, Marco

    SN computer science

    2021  Volume 2, Issue 3, Page(s) 203

    Abstract: In this paper, a preliminary data analytics study on the spread of COVID-19 in Italy and Lombardy Region is reported to understand how the COVID-19 spread from a geographical point-of-view. Understanding the rules followed by the virus in its spread in ... ...

    Abstract In this paper, a preliminary data analytics study on the spread of COVID-19 in Italy and Lombardy Region is reported to understand how the COVID-19 spread from a geographical point-of-view. Understanding the rules followed by the virus in its spread in Italy and Lombardy Region is fundamental to act properly to reduce and isolate the contagious promptly. The paper investigates the possible correlation between the goods and transport routes and the citizen travels with the spread of the COVID-19 from a geographical perspective. Moreover, in the paper, an empirical discussion is reported on how the actions and decrees, which have been imposed by the Italian Government over time, impacted actually on the spread of COVID-19. This discussion can highlight important aspects that can be taken into account in future pandemic waves, to better balance the policies and actions imposed by the Government and by the Regions.
    Language English
    Publishing date 2021-04-09
    Publishing country Singapore
    Document type Journal Article
    ISSN 2661-8907
    ISSN (online) 2661-8907
    DOI 10.1007/s42979-021-00597-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Questioning the seasonality of SARS-COV-2

    Luca Casini / Marco Roccetti / Riccardo Cappi / Davide Tosi

    BMJ Open, Vol 12, Iss

    a Fourier spectral analysis

    2022  Volume 4

    Keywords Medicine ; R
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher BMJ Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Questioning the seasonality of SARS-COV-2: a Fourier spectral analysis.

    Cappi, Riccardo / Casini, Luca / Tosi, Davide / Roccetti, Marco

    BMJ open

    2022  Volume 12, Issue 4, Page(s) e061602

    Abstract: Objectives: To investigate the hypothesis of a seasonal periodicity, driven by climate, in the contagion resurgence of COVID-19 in the period February 2020-December 2021.: Design: An observational study of 30 countries from different geographies and ... ...

    Abstract Objectives: To investigate the hypothesis of a seasonal periodicity, driven by climate, in the contagion resurgence of COVID-19 in the period February 2020-December 2021.
    Design: An observational study of 30 countries from different geographies and climates. For each country, a Fourier spectral analysis was performed with the series of the daily SARS-CoV-2 infections, looking for peaks in the frequency spectrum that could correspond to a recurrent cycle of a given length.
    Settings: Public data of the daily SARS-CoV-2 infections from 30 different countries and five continents.
    Participants: Only publicly available data were utilised for this study, patients and/or the public were not involved in any phase of this study.
    Results: All the 30 investigated countries have seen the recurrence of at least one COVID-19 wave, repeating over a period in the range 3-9 months, with a peak of magnitude at least half as large as that of the highest peak ever experienced since the beginning of the pandemic until December 2021. The distance in days between the two highest peaks in each country was computed and then averaged over the 30 countries, yielding a mean of 190 days (SD 100). This suggests that recurrent outbreaks may repeat with cycles of different lengths, without a precisely predictable seasonality of 1 year.
    Conclusion: Our findings suggest that COVID-19 outbreaks are likely to occur worldwide, with cycles of repetition of variable lengths. The Fourier analysis of 30 different countries has not found evidence in favour of a seasonality that recurs over 1year period, solely or with a precisely fixed periodicity.
    MeSH term(s) COVID-19/epidemiology ; Climate ; Fourier Analysis ; Humans ; Pandemics ; SARS-CoV-2
    Language English
    Publishing date 2022-04-20
    Publishing country England
    Document type Journal Article ; Observational Study
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2022-061602
    Database MEDical Literature Analysis and Retrieval System OnLINE

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