Integrative approaches in lung cancer diagnosis: bridging molecular biomarkers and AI driven imaging

The convergence of biomarker research, multi-omics technologies, and AI-driven analytics is reshaping lung cancer diagnostics toward more precise and personalized approaches. However, challenges related to data standardization, interpretability, clinical validation, and ethical considerations must be addressed to enable widespread clinical implementation.