Leveraging large-scale pretrained sleep models via multi-modal fusion for early prediction of cognitive impairment
A. D. Rossi, G. Monachino, A. Calzoni et al.
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AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The findings suggest that supervised unimodal experts integrated through a fusion engine provide a flexible pathway for prognostic risk ranking from sleep recordings, while reliable CVD screening will require independent external cohorts and explicit confounder control.
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