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Jurnal

Nature Biomedical Engineering

Scopus

ISSN 2157-846X · Nature Portfolio · 65 artikel di indeks

  1. Artikel Jurnal Teks lengkap

    Opportunities and challenges in the diagnostic utility of dermal interstitial fluid

    Mark Friedel; Ian A. P. Thompson; Gerald B. Kasting dkk.

    Nature Biomedical Engineering · 2023 · Inggris · OpenAlex Scopus

    The volume of interstitial fluid (ISF) in the human body is three times that of blood. Yet, collecting diagnostically useful ISF is more challenging than collecting blood because the extraction of dermal ISF disrupts the delicate balance of pressure between ISF, blood and lymph, and because the…

  2. Artikel Jurnal Teks lengkap

    Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow

    Chenglong Xie; Xu‐Xu Zhuang; Zhangming Niu dkk.

    Nature Biomedical Engineering · 2022 · Inggris · OpenAlex Scopus

    A reduced removal of dysfunctional mitochondria is common to aging and age-related neurodegenerative pathologies such as Alzheimer's disease (AD). Strategies for treating such impaired mitophagy would benefit from the identification of mitophagy modulators. Here we report the combined use of…

  3. Artikel Jurnal Teks lengkap

    Shifting machine learning for healthcare from development to deployment and from models to data

    Angela Zhang; Lei Xing; James Zou dkk.

    Nature Biomedical Engineering · 2022 · Inggris · OpenAlex Scopus

    In the past decade, the application of machine learning (ML) to healthcare has helped drive the automation of physician tasks as well as enhancements in clinical capabilities and access to care. This progress has emphasized that, from model development to model deployment, data play central roles…

  4. Artikel Jurnal Teks lengkap

    Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning

    Ekin Tiu; Ellie Talius; Pujan R. Patel dkk.

    Nature Biomedical Engineering · 2022 · Inggris · OpenAlex Scopus

    In tasks involving the interpretation of medical images, suitably trained machine-learning models often exceed the performance of medical experts. Yet such a high-level of performance typically requires that the models be trained with relevant datasets that have been painstakingly annotated by…