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This article discusses the potential of utilizing cfDNA-based liquid biopsy and machine learning algorithms for early cancer detection. Researchers are actively exploring somatic variations in circulating cfDNA and protein biomarkers as a means of detecting and monitoring cancer growth. The ABEMUS system is specifically designed for identifying somatic single-nucleotide variants in cfDNA for cancer detection.