Computational alternative to cardiac biopsy in multiple myeloma: utilizing the shape of routine laboratory data for the classification of AL cardiac amyloidosis.

Cremer MA, Song H, Fradley MG, Rhea IB, Kieslich CA, Ferrall-Fairbanks MC

Open source

DOI
10.64898/2026.10.27.762298
Published
2026 Oct 30
Container
bioRxiv : the preprint server for biology
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.64898/2026.10.27.762298,
  title = {Computational alternative to cardiac biopsy in multiple myeloma: utilizing the shape of routine laboratory data for the classification of AL cardiac amyloidosis.},
  author = {Cremer MA and Song H and Fradley MG and Rhea IB and Kieslich CA and Ferrall-Fairbanks MC},
  year = {2026},
  journal = {bioRxiv : the preprint server for biology},
  doi = {10.64898/2026.10.27.762298},
  url = {https://doi.org/10.64898/2026.10.27.762298}
}

RIS

TY  - JOUR
TI  - Computational alternative to cardiac biopsy in multiple myeloma: utilizing the shape of routine laboratory data for the classification of AL cardiac amyloidosis.
AU  - Cremer MA
AU  - Song H
AU  - Fradley MG
AU  - Rhea IB
AU  - Kieslich CA
AU  - Ferrall-Fairbanks MC
PY  - 2026
JO  - bioRxiv : the preprint server for biology
DO  - 10.64898/2026.10.27.762298
UR  - https://doi.org/10.64898/2026.10.27.762298
ER  - 

APA

MA, C., H, S., MG, F., IB, R., CA, K., & MC, F. (2026). Computational alternative to cardiac biopsy in multiple myeloma: utilizing the shape of routine laboratory data for the classification of AL cardiac amyloidosis.. bioRxiv : the preprint server for biology. https://doi.org/10.64898/2026.10.27.762298

Source records