source · discovered

Enhancing pathogen identification through AI-assisted metagenomic sequencing

Primary paper retained with its original identifier. Metadata inherited from the literature collection; individual result checks are separate.

Sources and history

Release 2026-09-16-d74d282221a9 · Record review: discovered

No supporting source is linked yet.

Technical metadata and extraction receipts

Stable ID: metagenomic-pathogens-2025

areas: microbes-communities
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12493982/
version: version of record
retrieved at: 2026-09-15T23:37:05Z
doi: 10.3389/fmicb.2025.1634194
publication status: peer_reviewed
year: 2025
artifact sha256: aa88de1b0f0fd7ba1fedc1074bba9ba6ce199a0b723072a04d531db4585ae77c
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12493982/fullTextXML
artifact retrieved at: 2026-09-16T10:41:06Z
legacy paper: id: metagenomic-pathogens-2025; title: Enhancing pathogen identification through AI-assisted metagenomic sequencing; year: 2025; publication status: peer_reviewed; version: version of record; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12493982/; primary domain: microbes-communities; retrieved utc: 2026-09-15T23:37:05Z; notes: Primary full text verified via Europe PMC fullTextXML; venue: Frontiers in Microbiology; PMC ID: PMC12493982. Primary article has mixed biomedical-text and metagenomics assessments; selected MetaHIT pathogen-detection table only.; doi: 10.3389/fmicb.2025.1634194
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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