source · discovered

Multimodal deep learning applied to classify healthy and disease states of human microbiome

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

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

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Technical metadata and extraction receipts

Stable ID: mdl4microbiome-2022

areas: microbes-communities
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC8763943/
version: PMC archival version PMC8763943.1
retrieved at: 2026-09-15T23:37:05Z
doi: 10.1038/s41598-022-04773-3
publication status: peer_reviewed
year: 2022
artifact sha256: 72330eda245ac97c5de5d47a491bb86d9b8f527a03ae25fa41cae5bfb637143b
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC8763943/fullTextXML
artifact retrieved at: 2026-09-16T10:33:58.492Z
legacy paper: id: mdl4microbiome-2022; title: Multimodal deep learning applied to classify healthy and disease states of human microbiome; year: 2022; publication status: peer_reviewed; version: PMC archival version PMC8763943.1; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC8763943/; primary domain: microbes-communities; retrieved utc: 2026-09-15T23:37:05Z; notes: Primary full text verified via Europe PMC fullTextXML; venue: Scientific Reports; PMC ID: PMC8763943. Study predates most microbial foundation models; useful task baseline only.; doi: 10.1038/s41598-022-04773-3
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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