Acute myocardial infarction (AMI) is a leading cause of global morbidity and mortality, requiring deeper insights into its molecular mechanisms for improved diagnosis and treatment. This study combines proteomics, multi-omics, and machine learning (ML) to identify key proteins and pathways associated with AMI.