Digital Biomarkers for Precision Early Detection of Lung Cancer: Integrating <scp>AI</scp> ‐Driven Multi‐Omics Into Clinical Pathways

Emerging technologies, such as single-cell and spatial multi-omics, along with federated learning frameworks, offer promising solutions to bridge the gap between computational discovery and clinical implementation. The integration of AI and multi-omics approaches has the potential to advance risk-adapted and personalised early detection strategies for lung cancer.