Predicting efficacy in patients with locally advanced/metastatic urothelial carcinoma (mUC) treated with immunotherapy using explainable machine learning approaches: the SamUR-AI trial on behalf of the Meet-URO group.

Rametta A, Ferri S, Maruzzo M, Pierantoni F, Antonuzzo L, Rossi V, Buti S, Testi I, Zucali P, Mucciarini C, Stellato M, Provenzano L, Raggi D, Farè E, Pedrocchi ALG, Prelaj A, Necchi A, Procopio G, Miskovic V, Giannatempo P

Open source

DOI: 10.1016/j.esmorw.2025.100681
Published: 2026 Mar
Container: ESMO real world data and digital oncology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.esmorw.2025.100681,
  title = {Predicting efficacy in patients with locally advanced/metastatic urothelial carcinoma (mUC) treated with immunotherapy using explainable machine learning approaches: the SamUR-AI trial on behalf of the Meet-URO group.},
  author = {Rametta A and Ferri S and Maruzzo M and Pierantoni F and Antonuzzo L and Rossi V and Buti S and Testi I and Zucali P and Mucciarini C and Stellato M and Provenzano L and Raggi D and Farè E and Pedrocchi ALG and Prelaj A and Necchi A and Procopio G and Miskovic V and Giannatempo P},
  year = {2026},
  journal = {ESMO real world data and digital oncology},
  doi = {10.1016/j.esmorw.2025.100681},
  url = {https://doi.org/10.1016/j.esmorw.2025.100681}
}

RIS

TY  - JOUR
TI  - Predicting efficacy in patients with locally advanced/metastatic urothelial carcinoma (mUC) treated with immunotherapy using explainable machine learning approaches: the SamUR-AI trial on behalf of the Meet-URO group.
AU  - Rametta A
AU  - Ferri S
AU  - Maruzzo M
AU  - Pierantoni F
AU  - Antonuzzo L
AU  - Rossi V
AU  - Buti S
AU  - Testi I
AU  - Zucali P
AU  - Mucciarini C
AU  - Stellato M
AU  - Provenzano L
AU  - Raggi D
AU  - Farè E
AU  - Pedrocchi ALG
AU  - Prelaj A
AU  - Necchi A
AU  - Procopio G
AU  - Miskovic V
AU  - Giannatempo P
PY  - 2026
JO  - ESMO real world data and digital oncology
DO  - 10.1016/j.esmorw.2025.100681
UR  - https://doi.org/10.1016/j.esmorw.2025.100681
ER  -

APA

A, R., S, F., M, M., F, P., L, A., V, R., S, B., I, T., P, Z., C, M., M, S., L, P., D, R., E, F., ALG, P., A, P., A, N., G, P., V, M., & P, G. (2026). Predicting efficacy in patients with locally advanced/metastatic urothelial carcinoma (mUC) treated with immunotherapy using explainable machine learning approaches: the SamUR-AI trial on behalf of the Meet-URO group.. ESMO real world data and digital oncology. https://doi.org/10.1016/j.esmorw.2025.100681

Source records

pubmed · retrieved 2026-09-25T18:19:45.797Z