4,085 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. Computational and Systems Biology
    2. Neuroscience

    Action detection using a neural network elucidates the genetics of mouse grooming behavior

    Brian Q Geuther et al.
    A machine learning method for action detection is developed and applied toward mouse grooming behavior.
    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. 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. 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. 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. 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. Computational and Systems Biology
    2. Neuroscience

    Training deep neural density estimators to identify mechanistic models of neural dynamics

    Pedro J Gonçalves et al.
    Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.
    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.

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