TumorTwin: a Python framework for patient-specific digital twins in oncology.

Kapteyn MG, Chaudhuri A, Lima EABF, Pash G, Bravo R, Willcox KE, Yankeelov TE, Hormuth Ii DA

DOI: 10.1186/s12911-026-03520-2
Published: 2026 May 11
Container: BMC medical informatics and decision making
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12911-026-03520-2,
  title = {TumorTwin: a Python framework for patient-specific digital twins in oncology.},
  author = {Kapteyn MG and Chaudhuri A and Lima EABF and Pash G and Bravo R and Willcox KE and Yankeelov TE and Hormuth Ii DA},
  year = {2026},
  journal = {BMC medical informatics and decision making},
  doi = {10.1186/s12911-026-03520-2},
  url = {https://doi.org/10.1186/s12911-026-03520-2}
}

RIS

TY  - JOUR
TI  - TumorTwin: a Python framework for patient-specific digital twins in oncology.
AU  - Kapteyn MG
AU  - Chaudhuri A
AU  - Lima EABF
AU  - Pash G
AU  - Bravo R
AU  - Willcox KE
AU  - Yankeelov TE
AU  - Hormuth Ii DA
PY  - 2026
JO  - BMC medical informatics and decision making
DO  - 10.1186/s12911-026-03520-2
UR  - https://doi.org/10.1186/s12911-026-03520-2
ER  -

APA

MG, K., A, C., EABF, L., G, P., R, B., KE, W., TE, Y., & DA, H. I. (2026). TumorTwin: a Python framework for patient-specific digital twins in oncology.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-026-03520-2

Source records

pubmed · retrieved 2026-09-25T20:05:35.790Z