MACHINE LEARNING FOR EARLY DIAGNOSIS OF SMALL CELL LUNG CANCER: MULTI-OMICS BIOMARKER STRATEGIES
Small cell lung cancer (SCLC) is an aggressive malignancy characterized by late diagnosis and five-year survival rates below 7%. Existing serological markers, including neuron-specific enolase and progastrin-releasing peptide, lack the sensitivity and specificity required for reliable early detection. Machine learning...