Emerging Technologies in Early Cancer Detection: Advances, Challenges and Future Directions

Abstract

Early cancer detection lowers treatment intensity, increases survival chances and saves medical expenses. Conventional screening techniques are still limited by cancer selectivity, invasiveness, inadequate sensitivity for early-stage disease, even though they are helpful for some cancers. Early detection techniques have been completely transformed by recent developments in molecular biology, genomics, biomarker research, imaging technologies, artificial intelligence (AI). A new paradigm of minimally invasive multi-cancer early detection is being shaped by liquid biopsy technologies, including circulating tumor DNA (ctDNA) analysis, epigenetic profiling, multi-analyte biomarker panels, AI-enhanced imaging, multiomics integration. This review addresses clinical ethical issues, summarizes the most recent data on developing technologies, assesses their diagnostic accuracy translational potential, suggest future possibilities of research. The most promising route to early cancer detection for the entire population is the multimodal combination of molecular computational technologies.