AI-Assisted Real-Time Immunoassay Improves Clinical Sensitivity and Specificity.

ABSTRACT: Real-time biosensing systems can interrogate the association between the analyte and the biorecognition element across time. Typically, the resulting data are preprocessed to offer valuable bioanalytical information obtained at a single optimal point of such a real-time response; for instance, a diagnosis of certain medical conditions can be established depending on a biomarker (analyte) concentration measured at an optimal time, that is, a threshold. Exploiting this conventional approach, we previously developed a nanophotonic immunoassay for bacterial vaginosis diagnosis exhibiting a clinical sensitivity and specificity of ca. 96.29% (n = 162). Herein, we demonstrate that a real-time biosensing platform assisted by artificial intelligence not only obviates biomarker concentration

SUBMITTER: Mancera-Zapata DL 

PROVIDER: S-EPMC11359380 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature