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Network Pharmacology and Machine Learning Identify Flavonoids as Potential Senotherapeutics — Europe PMC PMID:40872567

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/40872567
DOI: 10.3390/ph18081176
License (as archived): solo-consultazione
Archived: 2026-11-10T18:39:54.036Z
SHA-256 of the archived text: cece4a4a95c818b600d7d4ca1f906558075d9082403f133a4d42d2df6f551d29
Stable URL of this page: https://metraipolis.com/documento/dc_e565ce45ff05

How to cite

Network Pharmacology and Machine Learning Identify Flavonoids as Potential Senotherapeutics — Europe PMC PMID:40872567 — Europe PMC (en), https://europepmc.org/article/MED/40872567 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_e565ce45ff05 (Metraipolis archive dc_e565ce45ff05, sha256 cece4a4a95c818b600d7d4ca1f906558075d9082403f133a4d42d2df6f551d29)

BibTeX

@misc{dce565ce45ff05,
  title = {Network Pharmacology and Machine Learning Identify Flavonoids as Potential Senotherapeutics — Europe PMC PMID:40872567},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/40872567},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_e565ce45ff05; sha256 cece4a4a95c818b600d7d4ca1f906558075d9082403f133a4d42d2df6f551d29},
  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/40872567. Agents can read the archived copy with the MCP tool read_document.