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Machine Learning-Based Model for Early Bladder Cancer Detection Using Self-Powered Sensing Data
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DOI：10.1016/j.snb.2026.140081.png)
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Abstract
En 中文
● A glucose-driven, chip-based system enables highly sensitive miRNA detection. ● A machine learning innovatively introduced to integrate multi-modal sensing data. ● Detection platform both laboratory-accurate and flexible for immediate application.
Keywords:
miRNA detection
machine learning
bladder cancer
self-powered sensing
multi-modal data