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Peer-reviewedCC BYBiomedicines

Exploratory Integration of Metabolomics and Machine Learning Identifies Candidate Signatures of Spontaneous Preterm Birth

  • Maicol Avellaneda-Arciniegas1
  • Carlos H. Becerra-Mojica1
  • Mónica P. Cala2
  • Bladimiro Rincón-Orozco1
  • William Hidalgo3
  1. 1School of Medicine, Universidad Industrial de Santander, Bucaramanga 680002, Colombia; (M.A.-A.); (C.H.B.-M.); (B.R.-O.)
  2. 2MetCore—Metabolomics Core Facility, Vice-Presidency for Research, Universidad de los Andes, Bogota 111711, Colombia;
  3. 3School of Chemistry, Universidad Industrial de Santander, Bucaramanga 680002, Colombia
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Cite

BibTeXRIS
BibTeX
@article{avellanedaarciniegas2026exploratory,
  title = {{Exploratory Integration of Metabolomics and Machine Learning Identifies Candidate Signatures of Spontaneous Preterm Birth}},
  author = {Maicol Avellaneda-Arciniegas and Carlos H. Becerra-Mojica and Mónica P. Cala and Bladimiro Rincón-Orozco and William Hidalgo},
  journal = {Biomedicines},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13701544},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Exploratory Integration of Metabolomics and Machine Learning Identifies Candidate Signatures of Spontaneous Preterm Birth
AU  - Maicol Avellaneda-Arciniegas
AU  - Carlos H. Becerra-Mojica
AU  - Mónica P. Cala
AU  - Bladimiro Rincón-Orozco
AU  - William Hidalgo
PY  - 2026
DA  - 2026/09/27
JO  - Biomedicines
UR  - https://europepmc.org/article/PMC/PMC13701544
SN  - 2227-9059
ER  -