Classification of endogenous cell-free DNAs from colorectal cancer samples using 3 nm nanopores and time-resolved machine learning model
Abstract
Cell-free DNA (cfDNA) is a promising non-invasive biomarker for cancer detection; however, its clinical utility is often limited by its low abundance, short and heterogeneous fragment lengths. Here, we present a label and amplification-free strategy for cfDNA analysis and colorectal cancer (CRC) stage classification using an ultra-small (
Fields of Study & Subjects
Nanopore and Nanochannel Transport Studies
Cancer Genomics and Diagnostics
Ion-surface interactions and analysis
Publication details
- Journal / source
- npj Biosensing
- Publisher
- Springer Science and Business Media LLC
- Volume
- 3
- Issue
- 1
- Publication date
- 20 May 2026
- Language
- EN