Information Theory-Guided Detection of Biomarkers Using Programmable Aptamer Arrays.

ABSTRACT: While numerous endogenous nucleic acid biomarkers have been reported that are predictive for diseases like cancer, there has been limited development of devices that are tailored towards point-of-care (PoC) diagnosis using those endogenous biomarkers. Diagnosing based on endogenous biomarkers is challenging as its diagnostic value is based on concentration deviations from a healthy baseline. Here we report the Concentration Detector Array (CDA), a nucleic acid device that uses channel activated thresholds to identify and bin target nucleic acids into concentration ranges. Using consensus voting and error correction methods, we demonstrate that CDAs have excellent binning classification with an AUC = 0.945-0.955. Motivated by the diagnostic gap in non-small cell lung cancer detection, we de

SUBMITTER: Eshed A 

PROVIDER: S-EPMC12676410 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature