ArticlePNAS nexus2025
Rapid diagnosis of ocular viral infections via single-virus detection using solid-state nanopore: A diagnostic evaluation study.
Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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11 authors.
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Abstract
Rapid and precise identification and discrimination of causative pathogens are required in the treatment of infectious diseases. Quantitative real-time PCR is used to detect and identify infectious viruses before treatment. Although it is an established modality, results take several hours, even in well-equipped hospitals. It is difficult to simultaneously detect many pathogen types because only a single-virus genome can be amplified per PCR. Recently, an AI-based nanopore machine has been used to identify individual viruses based on electrical conductivity. Here, we recognized a single virus using an AI-based detection system and successfully identified viral particles in clinical samples without the need for any prior treatment. We used a nanopore detector and discriminated among viruses using an AI-based waveform analysis. The efficacy of the AI nanopore detector as an on-site clinical analysis device was validated in cultured herpesvirus samples, and its discrimination capability was verified with clinical samples. The AI nanopore analysis of cultured viruses revealed that
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