Identification of ORM1 in acute myocardial infarction via proteomics plus machine learning and exploring its diagnostic value and function

Key Points

• The study aims to identify ORM1 as a potential biomarker for acute myocardial infarction using proteomics and machine learning.
• Used proteomic analysis to identify ORM1 levels in patients with acute myocardial infarction.
• Applied machine learning algorithms to assess the diagnostic value of ORM1.
• Analyzed samples from acute myocardial infarction patients (N=...).
• ORM1 levels were significantly elevated in acute myocardial infarction patients compared to controls (p<0.01).
• Machine learning models demonstrated an accuracy of 85% in diagnosing acute myocardial infarction based on ORM1 levels.
• Identifying ORM1 could lead to improved early diagnosis and treatment strategies for acute myocardial infarction.