Machine Learning Applied to Proteomic, Metabolomic, and Multi-Omics Biomarkers for the Diagnosis and Risk Stratification of Heart Failure With Preserved Ejection Fraction (HFpEF): A Systematic Review

Qossay Alsaafin, Amina Riyaz, Fnu Monishka, Fnu Manesha, Fnu Sandesh, Ahsan Qadeer, Shahbaz Tashfeen

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DOI: 10.7759/cureus.106415
Published: 2026-04-03
Container: Cureus
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.7759/cureus.106415,
  title = {Machine Learning Applied to Proteomic, Metabolomic, and Multi-Omics Biomarkers for the Diagnosis and Risk Stratification of Heart Failure With Preserved Ejection Fraction (HFpEF): A Systematic Review},
  author = {Qossay Alsaafin and Amina Riyaz and Fnu Monishka and Fnu Manesha and Fnu Sandesh and Ahsan Qadeer and Shahbaz Tashfeen},
  year = {2026},
  journal = {Cureus},
  doi = {10.7759/cureus.106415},
  url = {https://doi.org/10.7759/cureus.106415}
}

RIS

TY  - JOUR
TI  - Machine Learning Applied to Proteomic, Metabolomic, and Multi-Omics Biomarkers for the Diagnosis and Risk Stratification of Heart Failure With Preserved Ejection Fraction (HFpEF): A Systematic Review
AU  - Qossay Alsaafin
AU  - Amina Riyaz
AU  - Fnu Monishka
AU  - Fnu Manesha
AU  - Fnu Sandesh
AU  - Ahsan Qadeer
AU  - Shahbaz Tashfeen
PY  - 2026
JO  - Cureus
DO  - 10.7759/cureus.106415
UR  - https://doi.org/10.7759/cureus.106415
ER  -

APA

Alsaafin, Q., Riyaz, A., Monishka, F., Manesha, F., Sandesh, F., Qadeer, A., & Tashfeen, S. (2026). Machine Learning Applied to Proteomic, Metabolomic, and Multi-Omics Biomarkers for the Diagnosis and Risk Stratification of Heart Failure With Preserved Ejection Fraction (HFpEF): A Systematic Review. Cureus. https://doi.org/10.7759/cureus.106415

Source records

crossref · retrieved 2026-09-26T19:55:04.271Z