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  1. Article ; Online: Looking Back and Looking Forward: My Themes for the Continued Success of

    Warner, Jeremy L

    JCO clinical cancer informatics

    2023  Volume 7, Page(s) e2300107

    MeSH term(s) Humans ; Neoplasms/therapy ; Medical Informatics
    Language English
    Publishing date 2023-06-01
    Publishing country United States
    Document type Editorial
    ISSN 2473-4276
    ISSN (online) 2473-4276
    DOI 10.1200/CCI.23.00107
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Introducing a Comprehensive Score of Systemic Anticancer Treatment Relevance.

    Zack, Travis / Warner, Jeremy L

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 464–468

    Abstract: Treatment patterns in systemic anticancer therapy (SACT) are extremely varied and complex. While professional society guidelines exist that suggest recommended treatment strategies, these guidelines are produced through an extremely laborious and ... ...

    Abstract Treatment patterns in systemic anticancer therapy (SACT) are extremely varied and complex. While professional society guidelines exist that suggest recommended treatment strategies, these guidelines are produced through an extremely laborious and sometimes opaque manual process, making it impossible for such guidelines to cover all relevant treatment scenarios. To complement these manually curated guidelines, we leveraged a database of 5818 clinical trials and 7012 supporting references from 1943-present to calculate a quantifiable "relevance score". In a pilot evaluation, this score was strongly associated with professional society guideline recommendations, while also providing relevance information on thousands of additional therapies. We show that this score also accurately illustrates trends in SACT adoption over time. We foresee that this score, which comprehensively evaluates the relevance of SACT overall and by cancer subtype, will have utility for clinical practitioners as well as researchers in real-world data.
    MeSH term(s) Pregnancy ; Female ; Humans ; Databases, Factual ; Labor, Obstetric ; Research Personnel
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI231008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Cancer Informatics 2023: Data Sharing and Federating Learning Point Towards New Collaborative Opportunities.

    Warner, Jeremy L / Patt, Debra

    Yearbook of medical informatics

    2023  Volume 32, Issue 1, Page(s) 111–114

    Abstract: Objective: To summarize significant research contributions on cancer informatics published in 2022.: Methods: An extensive search using PubMed/MEDLINE was conducted to identify the scientific contributions published in 2022 that address topics in ... ...

    Abstract Objective: To summarize significant research contributions on cancer informatics published in 2022.
    Methods: An extensive search using PubMed/MEDLINE was conducted to identify the scientific contributions published in 2022 that address topics in cancer informatics. The selection process comprised three steps: (i) ten candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of three best papers was conducted by the editorial board of the Yearbook.
    Results: The three selected best papers demonstrate advances in federated learning, drug synergy prediction, and utilization of clinical note data.
    Conclusion: Cancer informatics continues to mature as a subfield of biomedical informatics. Applications of informatics methods to data sharing and federated approaches are especially notable in 2022.
    MeSH term(s) Humans ; Medical Informatics ; Information Dissemination ; Neoplasms
    Language English
    Publishing date 2023-12-26
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2251229-9
    ISSN 2364-0502 ; 2364-0502
    ISSN (online) 2364-0502
    ISSN 2364-0502
    DOI 10.1055/s-0043-1768744
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Cancer Informatics 2023: Data Sharing and Federating Learning Point Towards New Collaborative Opportunities

    Warner, Jeremy L. / Patt, Debra

    Yearbook of Medical Informatics

    2023  Volume 32, Issue 01, Page(s) 111–114

    Abstract: Objective: To summarize significant research contributions on cancer informatics published in 2022.: Methods: An extensive search using PubMed/MEDLINE was conducted to identify the scientific contributions published in 2022 that address topics in ... ...

    Abstract Objective: To summarize significant research contributions on cancer informatics published in 2022.
    Methods: An extensive search using PubMed/MEDLINE was conducted to identify the scientific contributions published in 2022 that address topics in cancer informatics. The selection process comprised three steps: (i) ten candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of three best papers was conducted by the editorial board of the Yearbook.
    Results: The three selected best papers demonstrate advances in federated learning, drug synergy prediction, and utilization of clinical note data.
    Conclusion: Cancer informatics continues to mature as a subfield of biomedical informatics. Applications of informatics methods to data sharing and federated approaches are especially notable in 2022.
    Keywords Neoplasms ; informatics ; health information technology ; disparities
    Language English
    Publishing date 2023-08-01
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article
    ZDB-ID 2251229-9
    ISSN 2364-0502 ; 0943-4747 ; 2364-0502
    ISSN (online) 2364-0502
    ISSN 0943-4747 ; 2364-0502
    DOI 10.1055/s-0043-1768744
    Database Thieme publisher's database

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  5. Article: Oral antivirals for COVID-19 among patients with cancer.

    Guermazi, Dorra / Arvanitis, Panos / Vieira, Kendra / Warner, Jeremy L / Farmakiotis, Dimitrios

    Research square

    2024  

    Abstract: Purpose: Immunocompromised individuals, such as those diagnosed with cancer, are at a significantly higher risk for severe illness and mortality when infected with SARS-CoV-2 (COVID-19) than the general population. Two oral antiviral treatments are ... ...

    Abstract Purpose: Immunocompromised individuals, such as those diagnosed with cancer, are at a significantly higher risk for severe illness and mortality when infected with SARS-CoV-2 (COVID-19) than the general population. Two oral antiviral treatments are approved for COVID-19: Paxlovid
    Methods: We evaluated the efficacy and safety of nirmatrelvir/ritonavir and molnupiravir in preventing severe illness and death using our database of 457 patients with cancer and COVID-19 from Brown University-affiliated hospitals. 67 patients received nirmatrelvir/ritonavir or molnupiravir and were compared to 56 concurrent controls who received no antiviral treatment despite being eligible to receive it.
    Results: Administration of nirmatrelvir/ritonavir or molnupiravir was associated with improved survival and lower 90-day all-cause and COVID-19-attributed mortality (p<0.05) and with lower peak O2 requirements (ordinal odds ratio [OR] 1.52, 95% confidence interval [CI] 0.92-2.56).
    Conclusion: Acknowledging the small size of our sample as a limitation, we concluded that early antiviral treatment might be beneficial to immunocompromised individuals, particularly those with cancer, when infected with SARS-CoV-2. Larger-scale, well-stratified studies are needed in this patient population.
    Language English
    Publishing date 2024-01-24
    Publishing country United States
    Document type Preprint
    DOI 10.21203/rs.3.rs-3876022/v1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Telehealth and Technology: New Directions in Cancer Care.

    Yu, James / Petersen, Carolyn / Reid, Sonya / Rosenbloom, S Trent / Warner, Jeremy L

    Cancer journal (Sudbury, Mass.)

    2024  Volume 30, Issue 1, Page(s) 40–45

    Abstract: Abstract: Telehealth is a broad concept that refers to any delivery of health care in real time using technologies to connect people or information that are not in the same physical location. Until fairly recently, telehealth was more aspiration than ... ...

    Abstract Abstract: Telehealth is a broad concept that refers to any delivery of health care in real time using technologies to connect people or information that are not in the same physical location. Until fairly recently, telehealth was more aspiration than reality. This situation changed radically due in part to the COVID-19 pandemic, which led to a near-overnight inability for patients to be seen for routine management of chronic health conditions, including those with cancer. The purpose of this brief narrative review is to outline some areas where emerging and future technology may allow for innovations with specific implications for people with a current or past diagnosis of cancer, including underserved and/or historically excluded populations. Specific topics of telehealth are broadly covered in other areas of the special issue.
    MeSH term(s) Humans ; Pandemics ; Telemedicine ; COVID-19 ; Neoplasms/diagnosis ; Neoplasms/therapy
    Language English
    Publishing date 2024-01-24
    Publishing country United States
    Document type Review ; Journal Article
    ZDB-ID 2018400-1
    ISSN 1540-336X ; 1528-9117 ; 1081-4442
    ISSN (online) 1540-336X
    ISSN 1528-9117 ; 1081-4442
    DOI 10.1097/PPO.0000000000000692
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4470: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
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  7. Article ; Online: Cancer Informatics 2022: Real-World Data Yields Important Insights into the Conduct of Clinical Trials and Registries.

    Warner, Jeremy L / Rooney, Michael K / Patt, Debra

    Yearbook of medical informatics

    2022  Volume 31, Issue 1, Page(s) 131–134

    Abstract: Objective: To summarize significant research contributions on cancer informatics published in 2021.: Methods: An extensive search using PubMed/MEDLINE and Altmetric scores was conducted to identify the scientific contributions published in 2021 that ... ...

    Abstract Objective: To summarize significant research contributions on cancer informatics published in 2021.
    Methods: An extensive search using PubMed/MEDLINE and Altmetric scores was conducted to identify the scientific contributions published in 2021 that address topics in cancer informatics. The selection process comprised three steps: (i) 15 candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of two best papers was conducted by the editorial board of the IMIA Yearbook.
    Results: The two selected best papers demonstrate some of the promises and shortcomings of real-world data.
    Conclusion: Cancer informatics is a maturing subfield of biomedical informatics. Applications of informatics methods to real-world data are especially notable in 2021.
    MeSH term(s) Humans ; Informatics ; MEDLINE ; Neoplasms/therapy ; Registries ; Clinical Trials as Topic
    Language English
    Publishing date 2022-12-04
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2251229-9
    ISSN 2364-0502 ; 2364-0502
    ISSN (online) 2364-0502
    ISSN 2364-0502
    DOI 10.1055/s-0042-1742521
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: COVID-19 and haematological malignancy: navigating a narrow strait.

    Rubinstein, Samuel M / Warner, Jeremy L

    The Lancet. Haematology

    2020  Volume 7, Issue 10, Page(s) e701–e703

    MeSH term(s) Betacoronavirus ; COVID-19 ; Cohort Studies ; Coronavirus Infections ; Hematologic Neoplasms/epidemiology ; Humans ; Italy ; Pandemics ; Pneumonia, Viral ; Retrospective Studies ; Risk Factors ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-08-13
    Publishing country England
    Document type Journal Article ; Comment
    ISSN 2352-3026
    ISSN (online) 2352-3026
    DOI 10.1016/S2352-3026(20)30252-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Cancer Informatics in 2019: Deep Learning Takes Center Stage.

    Warner, Jeremy L / Patt, Debra

    Yearbook of medical informatics

    2020  Volume 29, Issue 1, Page(s) 243–246

    Abstract: Objective: To summarize significant research contributions on cancer informatics published in 2019.: Methods: An extensive search using PubMed/Medline and manual review was conducted to identify the scientific contributions published in 2019 that ... ...

    Abstract Objective: To summarize significant research contributions on cancer informatics published in 2019.
    Methods: An extensive search using PubMed/Medline and manual review was conducted to identify the scientific contributions published in 2019 that address topics in cancer informatics. The selection process comprised three steps: (i) 15 candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of two best papers was conducted by the editorial committee of the Yearbook.
    Results: The two selected best papers demonstrate the clinical utility of deep learning in two important cancer domains: radiology and pathology.
    Conclusion: Cancer informatics is a broad and vigorous subfield of biomedical informatics. Applications of new and emerging computational technologies are especially notable in 2019.
    MeSH term(s) Deep Learning ; Humans ; Lung Neoplasms/diagnostic imaging ; Medical Informatics ; Medical Oncology ; Neoplasms/diagnostic imaging ; Neoplasms/pathology ; Radiography
    Language English
    Publishing date 2020-08-21
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2251229-9
    ISSN 2364-0502 ; 2364-0502
    ISSN (online) 2364-0502
    ISSN 2364-0502
    DOI 10.1055/s-0040-1701993
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Informatics Tools for Cancer Research and Care: Bridging the Gap Between Innovation and Implementation.

    Warner, Jeremy L / Klemm, Juli D

    JCO clinical cancer informatics

    2020  Volume 4, Page(s) 784–786

    MeSH term(s) Humans ; Medical Informatics ; Neoplasms/therapy ; Research
    Language English
    Publishing date 2020-09-01
    Publishing country United States
    Document type Journal Article
    ISSN 2473-4276
    ISSN (online) 2473-4276
    DOI 10.1200/CCI.20.00086
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

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