The transition into 2026 marks the end of "average" glycemic targets as clinical practice shifts toward personalized metabolic ranges. Utilizing massive datasets from millions of patient-years, AI systems are now providing cardiometabolic specialists with predictive insights that account for circadian rhythms, gut microbiome composition, and genetic SNPs. This granular approach is being hailed...