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Machine learning meets psoriasis: identifying key lactylation biomarkers as potential targets for diagnosis and therapies — Europe PMC PMID:41909697

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/41909697
DOI: 10.3389/fimmu.2026.1791693
License (as archived): solo-consultazione
Archived: 2026-11-04T10:43:37.221Z
SHA-256 of the archived text: a9d1410b5c7afa19749a3e1efd1ec2270e6e16081ddd8061efa001a5cc25f547
Stable URL of this page: https://metraipolis.com/documento/dc_c0dc0fcd2f2d

How to cite

Machine learning meets psoriasis: identifying key lactylation biomarkers as potential targets for diagnosis and therapies — Europe PMC PMID:41909697 — Europe PMC (en), https://europepmc.org/article/MED/41909697 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_c0dc0fcd2f2d (Metraipolis archive dc_c0dc0fcd2f2d, sha256 a9d1410b5c7afa19749a3e1efd1ec2270e6e16081ddd8061efa001a5cc25f547)

BibTeX

@misc{dcc0dc0fcd2f2d,
  title = {Machine learning meets psoriasis: identifying key lactylation biomarkers as potential targets for diagnosis and therapies — Europe PMC PMID:41909697},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/41909697},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_c0dc0fcd2f2d; sha256 a9d1410b5c7afa19749a3e1efd1ec2270e6e16081ddd8061efa001a5cc25f547},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/41909697. Agents can read the archived copy with the MCP tool read_document.