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A novel method combining nanopore technology with machine learning is enabling precise identification of proteins in complex biological samples. The voltage-matrix approach captures unique electrical signatures, allowing researchers to distinguish subtle molecular differences without labels. This breakthrough could transform biomedical diagnostics and molecular analysis.

Breakthrough in Molecular Analysis

Researchers at the University of Tokyo have developed a new analytical approach that reportedly overcomes limitations in distinguishing subtle structural variations among biomolecules, sources indicate. The method, described in Chemical Science, combines multivoltage solid-state nanopore recordings with machine learning to classify proteins based on their intrinsic electrical signatures, according to reports.