Machine Learning-Driven Nanopore Sensing for Quantitative, Label-Free miRNA Detection

Abstract excerpt

Nanopore sensors offer exceptional sensitivity for detecting single molecules, making them ideal for early disease diagnostics. In this study, we present a multiplexed nanopore-based assay that combines DNA-barcoded probes with advanced computational analysis to detect microRNAs (miRNAs) with high specificity and quantitative accuracy. Each probe binds selectively to its target biomarker and generates a characteri...

Topics

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• Indoles
• MicroRNAs
• Mutation
• Nucleic Acid Hybridization
• Peptide Nucleic Acids
• Polymers
• SARS-CoV-2 detection and testing
• Thermodynamics

Identifiers and source

Literature Corpus work

4671df62-302a-5902-8d86-02b2675d9341

DOI

10.1101/2025.11.17.688909