MoCaPS: a machine learning model for stratification of cancer-associated cachexia based on blood biomarkers.

Olumoyin KD, Park M, Davis EW, Permuth JB, Rejniak KA

DOI: 10.1038/s41540-026-00791-3
Published: 2026 Jul 16
Container: NPJ systems biology and applications
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41540-026-00791-3,
  title = {MoCaPS: a machine learning model for stratification of cancer-associated cachexia based on blood biomarkers.},
  author = {Olumoyin KD and Park M and Davis EW and Permuth JB and Rejniak KA},
  year = {2026},
  journal = {NPJ systems biology and applications},
  doi = {10.1038/s41540-026-00791-3},
  url = {https://doi.org/10.1038/s41540-026-00791-3}
}

RIS

TY  - JOUR
TI  - MoCaPS: a machine learning model for stratification of cancer-associated cachexia based on blood biomarkers.
AU  - Olumoyin KD
AU  - Park M
AU  - Davis EW
AU  - Permuth JB
AU  - Rejniak KA
PY  - 2026
JO  - NPJ systems biology and applications
DO  - 10.1038/s41540-026-00791-3
UR  - https://doi.org/10.1038/s41540-026-00791-3
ER  -

APA

KD, O., M, P., EW, D., JB, P., & KA, R. (2026). MoCaPS: a machine learning model for stratification of cancer-associated cachexia based on blood biomarkers.. NPJ systems biology and applications. https://doi.org/10.1038/s41540-026-00791-3

Source records

pubmed · retrieved 2026-09-26T01:23:59.978Z