3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in human-aging-1
Use these libraries to find human-aging-1 models and implementations
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This work proposes a novel multi-domain image-to-image generative adversarial network architecture, whose learned latent space models a continuous bi-directional aging process.
An interpretable latent-variable model that learns temporal dynamics from cross-sectional data and reconstructs the observed data while learning interpretable rates of aging associated with diseases, mortality, and aging risk factors on the UK Biobank human health dataset is presented.
This work demonstrates how the empirical scaling law relating the rank of the largest clones to their size can emerge from clonal growth during repertoire formation and provides a mechanism for how early clonal dynamics imprint the hierarchy of T cell clone sizes with implications for pathogen defense and autoimmunity.
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