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University of Sydney , Australia, University of Technology Sydney , Australia
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Tensor decomposition unlocks latent, biologically meaningful cross-modal features that significantly improve cancer risk prediction over unimodal data.
This work distinguishes itself from prior work by addressing the novel problem of business semantic layer induction from raw telemetry, operating without labeled training data or manual rule engineering.