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Deep Transfer Learning Applied to Time-series Classification for Predicting Heart Failure Worsening Using Electrocardiography
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Effects of PTEN Loss and Activated KRAS Overexpression on Viscoelasticity, Adhesion, and Mechanosensitivity of Breast Epithelial Cells
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Machine Learning Pipelines for Deconvolution of Cellular and Subcellular Heterogeneity from Cell Imaging
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Development of automated analysis methods for identifying behavioral and neural plasticity in sleep and learning in C. elegans
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Automated whole-organism functional screening technologies and neurological disease models in C. elegans
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A Machine Learning approach to Febrile Classification
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vU-net: edge detection in time-lapse fluorescence live cell images based on convolutional neural networks
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