AI-enabled D-dimeromics in precision breast oncology: a transformative framework for the identification, stratification, and prognostication of ultra-high-risk disease phenotypes

Emmanuel Ifeanyi Obeagu

Open source

DOI: 10.3389/fonc.2026.1910821
Published: 2026-09-01
Container: Frontiers in Oncology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fonc.2026.1910821,
  title = {AI-enabled D-dimeromics in precision breast oncology: a transformative framework for the identification, stratification, and prognostication of ultra-high-risk disease phenotypes},
  author = {Emmanuel Ifeanyi Obeagu},
  year = {2026},
  journal = {Frontiers in Oncology},
  doi = {10.3389/fonc.2026.1910821},
  url = {https://doi.org/10.3389/fonc.2026.1910821}
}

RIS

TY  - JOUR
TI  - AI-enabled D-dimeromics in precision breast oncology: a transformative framework for the identification, stratification, and prognostication of ultra-high-risk disease phenotypes
AU  - Emmanuel Ifeanyi Obeagu
PY  - 2026
JO  - Frontiers in Oncology
DO  - 10.3389/fonc.2026.1910821
UR  - https://doi.org/10.3389/fonc.2026.1910821
ER  -

APA

Obeagu, E. I. (2026). AI-enabled D-dimeromics in precision breast oncology: a transformative framework for the identification, stratification, and prognostication of ultra-high-risk disease phenotypes. Frontiers in Oncology. https://doi.org/10.3389/fonc.2026.1910821

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crossref · retrieved 2026-09-26T04:20:02.307Z