A decision support tool presented at ASN Kidney Week 2026 automates chronic kidney disease identification, risk classification, and guideline-based treatment recommendations directly within primary care electronic health records. By embedding kidney risk calculations into routine workflows, the approach targets gaps in CKD recognition that delay intervention. In parallel, a related review emphasizes kidney fat compartments as biologically distinct and treatment-responsive, but notes that clinical thresholds and causal proof linking fat remodeling to kidney protection remain unsettled. For nephrology stakeholders, the immediate operational takeaway is that risk estimation tools are getting deployed at the point of care, while the underlying biology continues to refine what future biomarkers and thresholds may eventually look like.