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A CCTA coronary plaque radiomic model for predicting major adverse cardiovascular events in patients with coronary artery disease
Abstract Introduction: Coronary artery disease (CAD) remains the leading cause of cardiovascular mortality worldwide, and early accurate risk stratification for major adverse cardiovascular events (MACE) is critical for improving clinical outcomes. Coronary computed tomography angiography (CCTA) is the cornerstone of non-invasive plaque assessment, yet conventional morphological evaluation fails to capture plaque microheterogeneity, limiting the accuracy of traditional risk prediction.
Correction to “Acceleration of Oral Wound Healing under Diabetes Mellitus Conditions Using Bioadhesive Hydrogel”
In our original paper, in the original Materials and Methods section, there are two errors in Indirect Coculture and Paraffin Sections that should be corrected. Below are the details of the corrections: Indirect Coculture, page 419: The glucose concentration of the high-glucose medium was incorrectly stated as “450 g/L”. This refers to the concentration of the glucose stock solution.
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