by Minh Trong Quang  and Minh Nam Nguyen

Received: 10 March 2026;  Published: 01 July 2026;  doi: 10.21926/obm.genet.2603346

Prostate cancer (PCa) is one of the most common malignancies among men worldwide, and early detection is critical for improving clinical outcomes. Circulating microRNAs (miRNAs) have emerged as promising non-invasive biomarkers for cancer diagnosis due to their stability in blood and association with tumor-related molecular alterations. In this study, machine learning (ML) methods were applied to large-scale circulating miRNA expression data to develop a diagnostic model for PCa detection. Serum [...]