Hajime Horiuchi

Enhanced detection of bladder cancer using machine learning analysis of routine urinary sediment data

OBJECTIVES: hybridization (FISH), and tumor markers like nuclear matrix protein 22 (NMP22), have limited sensitivity and specificity. This study assessed the potential of low-cost, non-invasive urine sediment data for BC detection using a machine learning model. METHODS: Urine se...