From data silos to integrated diagnosis: multimodal machine learning in glioblastoma.

Zadeh-Shirazi A, Day BW, Gan HK, Gomez GA

DOI: 10.3389/fonc.2026.1912365
Published: 2026
Container: Frontiers in oncology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fonc.2026.1912365,
  title = {From data silos to integrated diagnosis: multimodal machine learning in glioblastoma.},
  author = {Zadeh-Shirazi A and Day BW and Gan HK and Gomez GA},
  year = {2026},
  journal = {Frontiers in oncology},
  doi = {10.3389/fonc.2026.1912365},
  url = {https://doi.org/10.3389/fonc.2026.1912365}
}

RIS

TY  - JOUR
TI  - From data silos to integrated diagnosis: multimodal machine learning in glioblastoma.
AU  - Zadeh-Shirazi A
AU  - Day BW
AU  - Gan HK
AU  - Gomez GA
PY  - 2026
JO  - Frontiers in oncology
DO  - 10.3389/fonc.2026.1912365
UR  - https://doi.org/10.3389/fonc.2026.1912365
ER  -

APA

A, Z., BW, D., HK, G., & GA, G. (2026). From data silos to integrated diagnosis: multimodal machine learning in glioblastoma.. Frontiers in oncology. https://doi.org/10.3389/fonc.2026.1912365

Source records

pubmed · retrieved 2026-09-26T06:46:41.521Z