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  1. Article ; Online: The emergence of mpox as an HIV-related opportunistic infection.

    O'Shea, Jesse / Daskalakis, Demetre / Brooks, John T

    Lancet (London, England)

    2023  Volume 401, Issue 10384, Page(s) 1264

    MeSH term(s) Humans ; AIDS-Related Opportunistic Infections ; Mpox (monkeypox)
    Language English
    Publishing date 2023-04-13
    Publishing country England
    Document type Letter
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(23)00395-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Supporting clinical decision making in the emergency department for paediatric patients using machine learning: A scoping review protocol.

    Leonard, Fiona / O'Sullivan, Dympna / Gilligan, John / O'Shea, Nicola / Barrett, Michael J

    PloS one

    2023  Volume 18, Issue 11, Page(s) e0294231

    Abstract: Introduction: Machine learning as a clinical decision support system tool has the potential to assist clinicians who must make complex and accurate medical decisions in fast paced environments such as the emergency department. This paper presents a ... ...

    Abstract Introduction: Machine learning as a clinical decision support system tool has the potential to assist clinicians who must make complex and accurate medical decisions in fast paced environments such as the emergency department. This paper presents a protocol for a scoping review, with the objective of summarising the existing research on machine learning clinical decision support system tools in the emergency department, focusing on models that can be used for paediatric patients, where a knowledge gap exists.
    Materials and methods: The methodology used will follow the scoping study framework of Arksey and O'Malley, along with other guidelines. Machine learning clinical decision support system tools for any outcome and population (paediatric/adult/mixed) for use in the emergency department will be included. Articles such as grey literature, letters, pre-prints, editorials, scoping/literature/narrative reviews, non-English full text papers, protocols, surveys, abstract or full text not available and models based on synthesised data will be excluded. Articles from the last five years will be included. Four databases will be searched: Medline (EBSCO), CINAHL (EBSCO), EMBASE and Cochrane Central. Independent reviewers will perform the screening in two sequential stages (stage 1: clinician expertise and stage 2: computer science expertise), disagreements will be resolved by discussion. Data relevant to the research question will be collected. Quantitative analysis will be performed to generate the results.
    Discussion: The study results will summarise the existing research on machine learning clinical decision support tools in the emergency department, focusing on models that can be used for paediatric patients. This holds the promise to identify opportunities to both incorporate models in clinical practice and to develop future models by utilising reviewers from diverse backgrounds and relevant expertise.
    MeSH term(s) Adult ; Humans ; Child ; Research Design ; Clinical Decision-Making ; Machine Learning ; Decision Support Systems, Clinical ; Emergency Service, Hospital ; Review Literature as Topic
    Language English
    Publishing date 2023-11-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0294231
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Microbes, Autoimmunity, and Cancer: 69th Annual Montagna Symposium on the Biology of Skin.

    Modlin, Robert L / Anandasabapathy, Niroshana / Kaplan, Daniel / O'Shea, John / Roop, Dennis / Leachman, Sancy

    The Journal of investigative dermatology

    2024  

    Language English
    Publishing date 2024-01-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80136-7
    ISSN 1523-1747 ; 0022-202X
    ISSN (online) 1523-1747
    ISSN 0022-202X
    DOI 10.1016/j.jid.2023.11.017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: From thymus to tissues and tumors: A review of T-cell biology.

    Chopp, Laura / Redmond, Christopher / O'Shea, John J / Schwartz, Daniella M

    The Journal of allergy and clinical immunology

    2022  Volume 151, Issue 1, Page(s) 81–97

    Abstract: T cells are critical orchestrators of the adaptive immune response that optimally eliminate a specific pathogen. Aberrant T-cell development and function are implicated in a broad range of human disease including immunodeficiencies, autoimmune diseases, ... ...

    Abstract T cells are critical orchestrators of the adaptive immune response that optimally eliminate a specific pathogen. Aberrant T-cell development and function are implicated in a broad range of human disease including immunodeficiencies, autoimmune diseases, and allergic diseases. Accordingly, therapies targeting T cells and their effector cytokines have markedly improved the care of patients with immune dysregulatory diseases. Newer discoveries concerning T-cell-mediated antitumor immunity and T-cell exhaustion have further prompted development of highly effective and novel treatment modalities for malignancies, including checkpoint inhibitors and antigen-reactive T cells. Recent discoveries are also uncovering the depth and variability of T-cell phenotypes: while T cells have long been described using a subset-based classification system, next-generation sequencing technologies suggest an astounding degree of complexity and heterogeneity at the single-cell level.
    MeSH term(s) Humans ; T-Lymphocytes ; Neoplasms ; Adaptive Immunity ; Cytokines ; Immunity, Cellular ; CD8-Positive T-Lymphocytes
    Chemical Substances Cytokines
    Language English
    Publishing date 2022-10-19
    Publishing country United States
    Document type Review ; Journal Article ; Research Support, N.I.H., Intramural
    ZDB-ID 121011-7
    ISSN 1097-6825 ; 1085-8725 ; 0091-6749
    ISSN (online) 1097-6825 ; 1085-8725
    ISSN 0091-6749
    DOI 10.1016/j.jaci.2022.10.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Janus kinase-targeting therapies in rheumatology: a mechanisms-based approach.

    Tanaka, Yoshiya / Luo, Yiming / O'Shea, John J / Nakayamada, Shingo

    Nature reviews. Rheumatology

    2022  Volume 18, Issue 3, Page(s) 133–145

    Abstract: The four Janus kinase (JAK) proteins and seven signal transducer and activator of transcription (STAT) transcription factors mediate intracellular signal transduction downstream of cytokine receptors, which are implicated in the pathology of autoimmune, ... ...

    Abstract The four Janus kinase (JAK) proteins and seven signal transducer and activator of transcription (STAT) transcription factors mediate intracellular signal transduction downstream of cytokine receptors, which are implicated in the pathology of autoimmune, allergic and inflammatory diseases. Development of targeted small-molecule therapies such as JAK inhibitors, which have varied selective inhibitory profiles, has enabled a paradigm shift in the treatment of diverse disorders. JAK inhibitors suppress intracellular signalling mediated by multiple cytokines involved in the pathological processes of rheumatoid arthritis and many other immune and inflammatory diseases, and therefore have the capacity to target multiple aspects of those diseases. In addition to rheumatoid arthritis, JAK inhibition has potential for treatment of autoimmune diseases including systemic lupus erythematosus, spondyloarthritis, inflammatory bowel disease and alopecia areata, in which stimulation of innate immunity activates adaptive immunity, leading to generation of autoreactive T cells and activation and differentiation of B cells. JAK inhibitors are also effective in the treatment of allergic disorders, such as atopic dermatitis, and can even be used for the COVID-19-related cytokine storm. Mechanism-based treatments targeting JAK-STAT pathways have the potential to provide positive outcomes by minimizing the use of glucocorticoids and/or non-specific immunosuppressants in the treatment of systemic immune-mediated inflammatory diseases.
    MeSH term(s) COVID-19 ; Humans ; Janus Kinases ; Rheumatology ; SARS-CoV-2 ; STAT Transcription Factors/metabolism
    Chemical Substances STAT Transcription Factors ; Janus Kinases (EC 2.7.10.2)
    Language English
    Publishing date 2022-01-05
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2491532-4
    ISSN 1759-4804 ; 1759-4790
    ISSN (online) 1759-4804
    ISSN 1759-4790
    DOI 10.1038/s41584-021-00726-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Author Correction: Protein kinases: drug targets for immunological disorders.

    Castelo-Soccio, Leslie / Kim, Hanna / Gadina, Massimo / Schwartzberg, Pamela L / Laurence, Arian / O'Shea, John J

    Nature reviews. Immunology

    2023  Volume 24, Issue 1, Page(s) 79

    Language English
    Publishing date 2023-11-27
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2062776-2
    ISSN 1474-1741 ; 1474-1733
    ISSN (online) 1474-1741
    ISSN 1474-1733
    DOI 10.1038/s41577-023-00976-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Healthcare Transparency in the Age of COVID-19

    O'Shea, John

    SSRN Electronic Journal ; ISSN 1556-5068

    2020  

    Keywords covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    DOI 10.2139/ssrn.3698753
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Immunology Lessons from the SARS-CoV-2 Pandemic.

    Yokoyama, Wayne M / Hogquist, Kristin A / O'Shea, John J

    Annual review of immunology

    2021  Volume 39, Page(s) v–vii

    MeSH term(s) COVID-19/immunology ; COVID-19/prevention & control ; COVID-19/therapy ; COVID-19/virology ; COVID-19 Vaccines/administration & dosage ; COVID-19 Vaccines/immunology ; Disease Management ; Disease Susceptibility/immunology ; Host-Pathogen Interactions/immunology ; Humans ; Pandemics ; SARS-CoV-2/immunology
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2021-05-03
    Publishing country United States
    Document type Editorial ; Letter
    ZDB-ID 604953-9
    ISSN 1545-3278 ; 0732-0582
    ISSN (online) 1545-3278
    ISSN 0732-0582
    DOI 10.1146/annurev-iy-39-030121-100001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Olfaction: an underutilised tool in the prevention of drug errors.

    O'Shea, John / Duffy, Oscar / Corbett, Mel / Neligan, Patrick

    British journal of anaesthesia

    2022  Volume 128, Issue 5, Page(s) e309

    MeSH term(s) Humans ; Medication Errors/prevention & control
    Language English
    Publishing date 2022-03-14
    Publishing country England
    Document type Letter
    ZDB-ID 80074-0
    ISSN 1471-6771 ; 0007-0912
    ISSN (online) 1471-6771
    ISSN 0007-0912
    DOI 10.1016/j.bja.2022.02.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book: Ecology and conservation of the Sirenia

    Marsh, Helene / O'Shea, Thomas J. / Reynolds, John E.

    dugongs and manatees

    (Conservation biology series ; 18)

    2011  

    Author's details Helene Marsh, Thomas J. O'Shea, John E. Reynolds III
    Series title Conservation biology series ; 18
    Collection
    Keywords Sirenia
    Subject code 599.55
    Language English
    Size XVI, 521 S. : Ill., graph. Darst., Kt., 23 cm
    Publisher Cambridge University Press
    Publishing place Cambridge
    Publishing country Great Britain
    Document type Book
    Note Includes bibliographical references and index
    HBZ-ID HT017018631
    ISBN 978-0-521-88828-8 ; 978-0-521-71643-7 ; 0-521-88828-X ; 0-521-71643-8
    Database Catalogue ZB MED Nutrition, Environment, Agriculture

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