"Machine Learning‐Assisted Analysis of Sublingual Microcirculatory Dysfunction for Early Cardiovascular Risk Evaluation and Cardiovascular‐Kidney‐Metabolic Syndrome Stage in Patients With Type 2 Diabetes Mellitus"

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Machine Learning‐Assisted Analysis of Sublingual Microcirculatory Dysfunction for Early Cardiovascular Risk Evaluation and Cardiovascular‐Kidney‐Metabolic Syndrome Stage in Patients With Type 2 Diabetes Mellitus

To examine whether sublingual microcirculation can be used as an effective and noninvasive method for assessing cardiovascular, kidney, and metabolic risks in patients with type 2 diabetes mellitus (T2DM). Click to show full abstract

Keywords: patients type; diabetes mellitus; type diabetes; kidney metabolic; cardiovascular kidney

Journal Title: Diabetes/Metabolism Research and Reviews
Year Published: 2024

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