3,697 results found
    1. Cell Biology
    2. Computational and Systems Biology

    Active machine learning-driven experimentation to determine compound effects on protein patterns

    Armaghan W Naik et al.
    In an investigation into the effects of drugs on proteins, an active machine learning algorithm chose which sets of experiments to perform and was able to learn an accurate model of the effects after doing only a fraction of the experiments.
    1. Epidemiology and Global Health
    2. Microbiology and Infectious Disease

    Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure

    Romain F Laine et al.
    Machine learning in conjunction with super-resolution imaging allows for the first time to quantitatively analyse large and heterogenous virus samples structure at a high throughput and specificity.
    1. Stem Cells and Regenerative Medicine

    Live cell-lineage tracing and machine learning reveal patterns of organ regeneration

    Oriol Viader-Llargués et al.
    A combination of live cell tracking, cell-lineage tracing and machine learning shows that injured sensory organs repair accurately regardless of the extent of damage.
    1. Computational and Systems Biology

    Unsupervised machine learning reveals risk stratifying glioblastoma tumor cells

    Nalin Leelatian et al.
    A new automated and unsupervised algorithm, Risk Assessment Population IDentification, identifies risk-stratifying cells in single cell datasets with robust statistical and biological validation.
    1. Neuroscience

    Comprehensive machine learning analysis of Hydra behavior reveals a stable basal behavioral repertoire

    Shuting Han et al.
    A novel automated behavior analysis method for Hydra identifies pre-defined and new behavior types, and reveals a stable behavior repertoire.
    1. Cancer Biology
    2. Computational and Systems Biology

    Identifying prostate cancer and its clinical risk in asymptomatic men using machine learning of high dimensional peripheral blood flow cytometric natural killer cell subset phenotyping data

    Simon P Hood et al.
    Diagnosing the presence and clinical significance of prostate cancer can be achieved using AI-based analysis of peripheral blood natural killer (NK) cell subset profiles.
    1. Neuroscience

    Cellular cartography of the organ of Corti based on optical tissue clearing and machine learning

    Shinji Urata et al.
    A method of generating comprehensive maps of cochlear cells was created and enabled researchers to study characteristics of cellular damage in aged and noise-exposed inner ear.
    1. Computational and Systems Biology
    2. Structural Biology and Molecular Biophysics

    Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning

    Yasuhiro Matsunaga, Yuji Sugita
    A general machine learning scheme for integrating time-series data from single-molecule experiments and molecular dynamics simulations is proposed and successfully demonstrated for the folding dynamics of the WW domain.
    1. Neuroscience

    Physical Inference: How the brain represents mass

    Grant Fairchild, Jacqueline C Snow
    New fMRI experiments and machine learning are helping to identify how the mass of objects is processed in the brain.
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    1. Neuroscience

    A machine-vision approach for automated pain measurement at millisecond timescales

    Jessica M Jones et al.
    Development of a fully automated pain scale using machine learning tools in computational neuroethology and creation of new software, reveals a robust circuit-dissection compatible platform for objective pain measurement.

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