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  1. Article ; Online: A Review of Ultrasound-Mediated Checkpoint Inhibitor Immunotherapy.

    Rivera, Jocelyne / Digklia, Antonia / Christou, Anna S / Anibal, James / Vallis, Katherine A / Wood, Bradford J / Stride, Eleanor

    Ultrasound in medicine & biology

    2023  Volume 50, Issue 1, Page(s) 1–7

    Abstract: Over the past decade, immunotherapy has emerged as a major modality in cancer medicine. However, despite its unprecedented success, immunotherapy currently benefits only a subgroup of patients, may induce responses of limited duration and is associated ... ...

    Abstract Over the past decade, immunotherapy has emerged as a major modality in cancer medicine. However, despite its unprecedented success, immunotherapy currently benefits only a subgroup of patients, may induce responses of limited duration and is associated with potentially treatment-limiting side effects. In addition, responses to immunotherapeutics are sometimes diminished by the emergence of a complex array of resistance mechanisms. The efficacy of immunotherapy depends on dynamic interactions between tumour cells and the immune landscape in the tumour microenvironment. Ultrasound, especially in conjunction with cavitation-promoting agents such as microbubbles, can assist in the uptake and/or local release of immunotherapeutic agents at specific target sites, thereby increasing treatment efficacy and reducing systemic toxicity. There is also increasing evidence that ultrasound and/or cavitation may themselves directly stimulate a beneficial immune response. In this review, we summarize the latest developments in the use of ultrasound and cavitation agents to promote checkpoint inhibitor immunotherapy.
    MeSH term(s) Humans ; Immunotherapy ; Neoplasms/drug therapy ; Immunity ; Tumor Microenvironment
    Language English
    Publishing date 2023-10-03
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 186150-5
    ISSN 1879-291X ; 0301-5629
    ISSN (online) 1879-291X
    ISSN 0301-5629
    DOI 10.1016/j.ultrasmedbio.2023.08.019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Omicron detection with large language models and YouTube audio data.

    Anibal, James T / Landa, Adam J / Hang, Nguyen T T / Song, Miranda J / Peltekian, Alec K / Shin, Ashley / Huth, Hannah B / Hazen, Lindsey A / Christou, Anna S / Rivera, Jocelyne / Morhard, Robert A / Bagci, Ulas / Li, Ming / Bensoussan, Yael / Clifton, David A / Wood, Bradford J

    medRxiv : the preprint server for health sciences

    2024  

    Abstract: Publicly available audio data presents a unique opportunity for the development of digital health technologies with large language models (LLMs). In this study, YouTube was mined to collect audio data from individuals with self-declared positive COVID-19 ...

    Abstract Publicly available audio data presents a unique opportunity for the development of digital health technologies with large language models (LLMs). In this study, YouTube was mined to collect audio data from individuals with self-declared positive COVID-19 tests as well as those with other upper respiratory infections (URI) and healthy subjects discussing a diverse range of topics. The resulting dataset was transcribed with the Whisper model and used to assess the capacity of LLMs for detecting self-reported COVID-19 cases and performing variant classification. Following prompt optimization, LLMs achieved accuracies of 0.89, 0.97, respectively, in the tasks of identifying self-reported COVID-19 cases and other respiratory illnesses. The model also obtained a mean accuracy of 0.77 at identifying the variant of self-reported COVID-19 cases using only symptoms and other health-related factors described in the YouTube videos. In comparison with past studies, which used scripted, standardized voice samples to capture biomarkers, this study focused on extracting meaningful information from public online audio data. This work introduced novel design paradigms for pandemic management tools, showing the potential of audio data in clinical and public health applications.
    Language English
    Publishing date 2024-03-27
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2022.09.13.22279673
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Image-Guided Robotics for Standardized and Automated Biopsy and Ablation.

    Christou, Anna S / Amalou, Amel / Lee, HooWon / Rivera, Jocelyne / Li, Rui / Kassin, Michael T / Varble, Nicole / Tsz Ho Tse, Zion / Xu, Sheng / Wood, Bradford J

    Seminars in interventional radiology

    2021  Volume 38, Issue 5, Page(s) 565–575

    Abstract: Image-guided robotics for biopsy and ablation aims to minimize procedure times, reduce needle manipulations, radiation, and complications, and enable treatment of larger and more complex tumors, while facilitating standardization for more uniform and ... ...

    Abstract Image-guided robotics for biopsy and ablation aims to minimize procedure times, reduce needle manipulations, radiation, and complications, and enable treatment of larger and more complex tumors, while facilitating standardization for more uniform and improved outcomes. Robotic navigation of needles enables standardized and uniform procedures which enhance reproducibility via real-time precision feedback, while avoiding radiation exposure to the operator. Robots can be integrated with computed tomography (CT), cone beam CT, magnetic resonance imaging, and ultrasound and through various techniques, including stereotaxy, table-mounted, floor-mounted, and patient-mounted robots. The history, challenges, solutions, and questions facing the field of interventional radiology (IR) and interventional oncology are reviewed, to enable responsible clinical adoption and value definition via ergonomics, workflows, business models, and outcome data. IR-integrated robotics is ready for broader adoption. The robots are coming!
    Language English
    Publishing date 2021-11-24
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 848341-3
    ISSN 1098-8963 ; 0739-9529
    ISSN (online) 1098-8963
    ISSN 0739-9529
    DOI 10.1055/s-0041-1739164
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Image-Guided Robotics for Standardized and Automated Biopsy and Ablation

    Christou, Anna S. / Amalou, Amel / Lee, HooWon / Rivera, Jocelyne / Li, Rui / Kassin, Michael T. / Varble, Nicole / Tsz Ho Tse, Zion / Xu, Sheng / Wood, Bradford J.

    Seminars in Interventional Radiology

    (Advances in IR)

    2021  Volume 38, Issue 05, Page(s) 565–575

    Abstract: Image-guided robotics for biopsy and ablation aims to minimize procedure times, reduce needle manipulations, radiation, and complications, and enable treatment of larger and more complex tumors, while facilitating standardization for more uniform and ... ...

    Series title Advances in IR
    Abstract Image-guided robotics for biopsy and ablation aims to minimize procedure times, reduce needle manipulations, radiation, and complications, and enable treatment of larger and more complex tumors, while facilitating standardization for more uniform and improved outcomes. Robotic navigation of needles enables standardized and uniform procedures which enhance reproducibility via real-time precision feedback, while avoiding radiation exposure to the operator. Robots can be integrated with computed tomography (CT), cone beam CT, magnetic resonance imaging, and ultrasound and through various techniques, including stereotaxy, table-mounted, floor-mounted, and patient-mounted robots. The history, challenges, solutions, and questions facing the field of interventional radiology (IR) and interventional oncology are reviewed, to enable responsible clinical adoption and value definition via ergonomics, workflows, business models, and outcome data. IR-integrated robotics is ready for broader adoption. The robots are coming!
    Keywords biopsy ; ablation ; robotics ; stereotactic navigation ; treatment planning ; interventional radiology
    Language English
    Publishing date 2021-11-24
    Publisher Thieme Medical Publishers, Inc.
    Publishing place Stuttgart ; New York
    Document type Article
    ZDB-ID 848341-3
    ISSN 1098-8963 ; 0739-9529
    ISSN (online) 1098-8963
    ISSN 0739-9529
    DOI 10.1055/s-0041-1739164
    Database Thieme publisher's database

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