94 results found
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Defining host–pathogen interactions employing an artificial intelligence workflow

    Daniel Fisch et al.
    The application of deep learning fills a major gap in host–pathogen research providing for unbiased, multi-module high-throughput image analysis.
    1. Computational and Systems Biology
    2. Neuroscience

    Deep Learning: Branching into brains

    Adam Shai, Matthew Evan Larkum
    What can artificial intelligence learn from neuroscience, and vice versa?.
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    1. Medicine
    2. Microbiology and Infectious Disease

    Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis

    Tyler Wagner et al.
    Applying deep learning technology for the large-scale curation of symptoms from unstructured EHR clinical notes accurately predicts the differential signals of COVID-19 diagnosis over the week preceding typical PCR testing.
    1. Cell Biology
    2. Physics of Living Systems

    KymoButler, a deep learning software for automated kymograph analysis

    Maximilian AH Jakobs et al.
    KymoButler is a machine learning approach towards the reliable, quick, and fully automated analysis of the dynamics of fluorescently labelled particles in living cells.
    1. Medicine

    Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors

    AJ Venkatakrishnan et al.
    SARS-CoV-2 receptor ACE2 is expressed in nasal olfactory epithelia, tongue keratinocytes and small intestine enterocytes, connected with the COVID-19 patient phenotypes such as anosmia and diarrhea.
    1. Computational and Systems Biology

    Point of View: Data science for the scientific life cycle

    Daphne Ezer, Kirstie Whitaker
    Each stage of the scientific life cycle stands to benefit from the introduction of data science techniques.
    1. Genetics and Genomics

    Point of View: Bioengineering horizon scan 2020

    Luke Kemp et al.
    20 emerging issues in bioengineering that will have profound impacts on society have been identified.
  1. Peer Review: Decisions, decisions

    Peter Rodgers
    Journals are exploring new approaches to peer review in order to reduce bias, increase transparency and respond to author preferences.
    1. Cancer Biology
    2. Genetics and Genomics

    Tumor Evolution: Finding the mutations that drive resistance

    Nadine Bley
    Mutations that allow tumors to evolve and become resistant to treatment can be readily identified with a new sequencing approach.
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    1. Ecology

    Point of View: A transatlantic perspective on 20 emerging issues in biological engineering

    Bonnie C Wintle et al.
    Horizon scanning has been used to identify opportunities and risks presented by 20 emerging issues in the field of biological engineering.

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