Differences in immune indicators among normal, high-risk, and esophageal cancer populations and development of a predictive model

Key Points

• The machine learning model accurately differentiates immune profiles across risk groups, aiding early detection.
• Distinct immune profiles were observed in normal, high-risk, and cancer populations, emphasizing the model's potential for screening.
• Assessment utilized an immune-based machine learning model, providing effective differentiation among diverse esophageal cancer risk groups.
• Findings highlight the model's non-invasive nature, indicating significant promise for early risk assessment in esophageal cancer.