Review finds extracellular vesicle biomarkers enhance diagnosis in coronary artery disease, highlighting challenges and clinical implications.
Key Points
Extracellular vesicle biomarkers improve diagnostic and prognostic accuracy in coronary artery disease, addressing unmet needs such as sample size and standardization.
Significant evidence suggests that integrating clinical, laboratory, and molecular data into 'Bioscores' may enhance diagnostic capabilities for CAD.
Assessment of machine learning algorithms may further streamline the interpretation of biomarker data in clinical applications for CAD.
Challenges in current studies include small sample sizes and a lack of external validation, which limit the reliability of findings.