AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The genetic basis of major heart failure subtypes across diverse populations is mapped, identifying shared and subtype-specific risk variants that may inform biology, risk prediction and future therapies.
The developed CARDINAL (Cardiovascular Assessment via Representation learning from Deep Imaging with Nested Anatomical Latent embeddings), a clinically grounded framework that learns compact representations from routine non-contrast cardiac CT for major adverse cardiovascular event (MACE) prediction, suggests that non-...
The identification of a high-risk SSI, based on 24-hour ABPM, is validated as a generalizable implementable approach for the clinical diagnosis of the SSBP, with a potential greater clinical diagnostic value in hypertensive versus normotensive individuals.
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