Multimodal machine learning models identify chemotherapy drugs with prospective clinical efficacy in dogs with relapsed B-cell lymphoma

A. John Callegari, Josephine Tsang, Stanley Park, Deanna Swartzfager, Sheena Kapoor, Kevin Choy, Sungwon Lim

Open source

DOI: 10.3389/fonc.2024.1304144
Published: 2024-02-08
Container: Frontiers in Oncology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fonc.2024.1304144,
  title = {Multimodal machine learning models identify chemotherapy drugs with prospective clinical efficacy in dogs with relapsed B-cell lymphoma},
  author = {A. John Callegari and Josephine Tsang and Stanley Park and Deanna Swartzfager and Sheena Kapoor and Kevin Choy and Sungwon Lim},
  year = {2024},
  journal = {Frontiers in Oncology},
  doi = {10.3389/fonc.2024.1304144},
  url = {https://doi.org/10.3389/fonc.2024.1304144}
}

RIS

TY  - JOUR
TI  - Multimodal machine learning models identify chemotherapy drugs with prospective clinical efficacy in dogs with relapsed B-cell lymphoma
AU  - A. John Callegari
AU  - Josephine Tsang
AU  - Stanley Park
AU  - Deanna Swartzfager
AU  - Sheena Kapoor
AU  - Kevin Choy
AU  - Sungwon Lim
PY  - 2024
JO  - Frontiers in Oncology
DO  - 10.3389/fonc.2024.1304144
UR  - https://doi.org/10.3389/fonc.2024.1304144
ER  -

APA

Callegari, A. J., Tsang, J., Park, S., Swartzfager, D., Kapoor, S., Choy, K., & Lim, S. (2024). Multimodal machine learning models identify chemotherapy drugs with prospective clinical efficacy in dogs with relapsed B-cell lymphoma. Frontiers in Oncology. https://doi.org/10.3389/fonc.2024.1304144

Source records

crossref · retrieved 2026-09-25T19:52:48.041Z