AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Using records from 2,489 youth with type 2 diabetes and 4,018 with type 1 diabetes, CEDAR (Clinical Evidence-Driven Agent for Risk-prediction), an evidence-citing, self-auditing LLM pipeline, outperformed trained machine learning in both cohorts.
OBJECTIVE Insulin dose-adjusted hemoglobin A1c (IDAA1c = HbA1c [%] + [4 × total daily dose in units/kg/day]) ≤9 is widely used to define partial remission in pediatric type 1 diabetes and as an eligibility criterion or outcome in disease-modifying therapy trials. However, it has not been validated in U.S. youth. Becaus...
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