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  1. Article ; Online: Out of Bounds: A Critical Appraisal of the Changing Geography of the Endemic Mycoses.

    Schwartz, Ilan S / Bahr, Nathan C

    Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

    2022  Volume 76, Issue 7, Page(s) 1302–1303

    MeSH term(s) Humans ; United States ; Mycoses/epidemiology ; Geography
    Language English
    Publishing date 2022-12-20
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1099781-7
    ISSN 1537-6591 ; 1058-4838
    ISSN (online) 1537-6591
    ISSN 1058-4838
    DOI 10.1093/cid/ciac963
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    Zs.A 1505: Show issues Location:
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  2. Article ; Online: Hydroxychloroquine for COVID19: The curtains close on a comedy of errors.

    Schwartz, Ilan S / Boulware, David R / Lee, Todd C

    Lancet regional health. Americas

    2022  Volume 11, Page(s) 100268

    Language English
    Publishing date 2022-05-05
    Publishing country England
    Document type Journal Article
    ISSN 2667-193X
    ISSN (online) 2667-193X
    DOI 10.1016/j.lana.2022.100268
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  3. Article ; Online: Emerging Diagnostics and Therapeutics for Invasive Fungal Infections.

    Friedman, Daniel Z P / Schwartz, Ilan S

    Infectious disease clinics of North America

    2023  Volume 37, Issue 3, Page(s) 593–616

    Abstract: Recently, there have been significant advances in the diagnosis and management of invasive fungal infections. Compared with traditional fungal diagnostics, molecular assays promise improved sensitivity and specificity, the ability to test a range of ... ...

    Abstract Recently, there have been significant advances in the diagnosis and management of invasive fungal infections. Compared with traditional fungal diagnostics, molecular assays promise improved sensitivity and specificity, the ability to test a range of samples (including noninvasive samples, ie, blood), the detection of genetic mutations associated with antifungal resistance, and the potential for a faster turnaround time. Antifungals in late-stage clinical development include agents with novel mechanisms of action (olorofim and fosmanogepix) and new members of existing classes with distinct advantages over existing antifungals in toxicity, drug-drug interactions, and dosing convenience (oteseconazole, opelconazole, rezafungin, ibrexafungerp, encochleated amphotericin B).
    MeSH term(s) Humans ; Antifungal Agents/pharmacology ; Antifungal Agents/therapeutic use ; Mycoses/diagnosis ; Mycoses/drug therapy ; Invasive Fungal Infections/diagnosis ; Invasive Fungal Infections/drug therapy ; Drug Resistance, Fungal
    Chemical Substances Antifungal Agents
    Language English
    Publishing date 2023-07-31
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1077676-x
    ISSN 1557-9824 ; 0891-5520
    ISSN (online) 1557-9824
    ISSN 0891-5520
    DOI 10.1016/j.idc.2023.05.001
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  4. Article ; Online: The rose-coloured glasses are cracked.

    Laupland, Kevin B / Townsend, Shane C / Schwartz, Ilan S

    Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada

    2022  Volume 7, Issue 3, Page(s) 159–162

    Language English
    Publishing date 2022-09-27
    Publishing country Canada
    Document type Journal Article
    ISSN 2371-0888
    ISSN (online) 2371-0888
    DOI 10.3138/jammi-2022-03-24
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  5. Article ; Online: NVX-CoV2373, a protein-based vaccine against SARS-CoV-2 infection.

    Vohra-Miller, Sabina / Schwartz, Ilan S

    CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

    2022  Volume 194, Issue 35, Page(s) E1214

    MeSH term(s) COVID-19/prevention & control ; COVID-19 Vaccines ; Humans ; SARS-CoV-2 ; Viral Vaccines/therapeutic use
    Chemical Substances COVID-19 Vaccines ; Viral Vaccines ; NVX-CoV2373 adjuvated lipid nanoparticle (2SCD8Q63PF)
    Language English
    Publishing date 2022-09-10
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 215506-0
    ISSN 1488-2329 ; 0008-4409 ; 0820-3946
    ISSN (online) 1488-2329
    ISSN 0008-4409 ; 0820-3946
    DOI 10.1503/cmaj.220688
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  6. Article ; Online: [No title information]

    Vohra-Miller, Sabina / Schwartz, Ilan S

    CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

    2022  Volume 194, Issue 45, Page(s) E1554–E1555

    Title translation NVX-CoV2373, un vaccin à sous-unités protéiques contre l’infection au SRAS-CoV-2.
    MeSH term(s) Humans ; COVID-19 Vaccines ; COVID-19 ; Protein Subunits ; SARS-CoV-2
    Chemical Substances NVX-CoV2373 adjuvated lipid nanoparticle (2SCD8Q63PF) ; COVID-19 Vaccines ; Protein Subunits
    Language French
    Publishing date 2022-11-21
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 215506-0
    ISSN 1488-2329 ; 0008-4409 ; 0820-3946
    ISSN (online) 1488-2329
    ISSN 0008-4409 ; 0820-3946
    DOI 10.1503/cmaj.220688-f
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  7. Article ; Online: The authors respond to "

    Dingle, Tanis C / Schwartz, Ilan S

    CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

    2020  Volume 192, Issue 2, Page(s) E45

    MeSH term(s) Antifungal Agents ; Candida
    Chemical Substances Antifungal Agents
    Language English
    Publishing date 2020-01-13
    Publishing country Canada
    Document type Letter ; Comment
    ZDB-ID 215506-0
    ISSN 1488-2329 ; 0008-4409 ; 0820-3946
    ISSN (online) 1488-2329
    ISSN 0008-4409 ; 0820-3946
    DOI 10.1503/cmaj.74194
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  8. Article ; Online: Emerging Fungal Infections.

    Spallone, Amy / Schwartz, Ilan S

    Infectious disease clinics of North America

    2021  Volume 35, Issue 2, Page(s) 261–277

    Abstract: Various uncommon fungal pathogens have been increasingly identified as causes of disseminated and invasive fungal disease (IFD) worldwide. Growing recognition and clinical knowledge of these emerging fungal pathogens has occurred through improved ... ...

    Abstract Various uncommon fungal pathogens have been increasingly identified as causes of disseminated and invasive fungal disease (IFD) worldwide. Growing recognition and clinical knowledge of these emerging fungal pathogens has occurred through improved molecular diagnostics, nucleic sequence databases, and taxonomic reclassification of medically significant fungi. However, emerging fungal diseases carry significant morbidity and mortality and, due to a paucity of published literature, the collective clinical experience with these fungi is often limited. In this review, we focus on unusual emerging fungal pathogens not extensively covered elsewhere in this issue of Infectious Diseases Clinics of North America.
    MeSH term(s) Communicable Diseases, Emerging/diagnosis ; Communicable Diseases, Emerging/drug therapy ; Communicable Diseases, Emerging/epidemiology ; Fungi ; Humans ; Invasive Fungal Infections/diagnosis ; Invasive Fungal Infections/drug therapy ; Invasive Fungal Infections/epidemiology ; Mycoses/diagnosis ; Mycoses/epidemiology ; North America ; Opportunistic Infections/diagnosis ; Opportunistic Infections/drug therapy ; Opportunistic Infections/epidemiology
    Language English
    Publishing date 2021-05-19
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1077676-x
    ISSN 1557-9824 ; 0891-5520
    ISSN (online) 1557-9824
    ISSN 0891-5520
    DOI 10.1016/j.idc.2021.03.014
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  9. Article ; Online: Black Box Warning: Large Language Models and the Future of Infectious Diseases Consultation.

    Schwartz, Ilan S / Link, Katherine E / Daneshjou, Roxana / Cortés-Penfield, Nicolás

    Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

    2023  Volume 78, Issue 4, Page(s) 860–866

    Abstract: Large language models (LLMs) are artificial intelligence systems trained by deep learning algorithms to process natural language and generate text responses to user prompts. Some approach physician performance on a range of medical challenges, leading ... ...

    Abstract Large language models (LLMs) are artificial intelligence systems trained by deep learning algorithms to process natural language and generate text responses to user prompts. Some approach physician performance on a range of medical challenges, leading some proponents to advocate for their potential use in clinical consultation and prompting some consternation about the future of cognitive specialties. However, LLMs currently have limitations that preclude safe clinical deployment in performing specialist consultations, including frequent confabulations, lack of contextual awareness crucial for nuanced diagnostic and treatment plans, inscrutable and unexplainable training data and methods, and propensity to recapitulate biases. Nonetheless, considering the rapid improvement in this technology, growing calls for clinical integration, and healthcare systems that chronically undervalue cognitive specialties, it is critical that infectious diseases clinicians engage with LLMs to enable informed advocacy for how they should-and shouldn't-be used to augment specialist care.
    MeSH term(s) Humans ; Drug Labeling ; Artificial Intelligence ; Communicable Diseases/diagnosis ; Language ; Referral and Consultation
    Language English
    Publishing date 2023-11-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1099781-7
    ISSN 1537-6591 ; 1058-4838
    ISSN (online) 1537-6591
    ISSN 1058-4838
    DOI 10.1093/cid/ciad633
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  10. Article: Balancing Scientific Rigor With Urgency in the Coronavirus Disease 2019 Pandemic.

    Spec, Andrej / Schwartz, Ilan S

    Open forum infectious diseases

    2020  Volume 7, Issue 8, Page(s) ofaa304

    Abstract: Knowledge dissemination during COVID19 has been notable for the rise of pre-prints and publication by press release, favoring speed over accuracy. We stress the importance of journals in this landscape and highlight the value of editorial judgment and ... ...

    Abstract Knowledge dissemination during COVID19 has been notable for the rise of pre-prints and publication by press release, favoring speed over accuracy. We stress the importance of journals in this landscape and highlight the value of editorial judgment and peer review.
    Keywords covid19
    Language English
    Publishing date 2020-07-21
    Publishing country United States
    Document type Editorial
    ZDB-ID 2757767-3
    ISSN 2328-8957
    ISSN 2328-8957
    DOI 10.1093/ofid/ofaa304
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