AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Current risk equations miss many cardiovascular events in people classified as low risk. Prediction is simultaneously advancing on two axes: broadening predictors toward molecular omics, and expanding outcomes toward earlier subclinical atherosclerosis and later heart failure.
Abstract Objective To directly test the generalisability of cardiovascular disease (CVD) risk predictor effects across populations in a high income versus non-high income country, derive comparable risk equations, and identify more effective strategies for prediction across populations. Design Population based cohort s...
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