Machine learning integrated explainable artificial intelligence in predicting toxicities of enfortumab vedotin in urothelial carcinoma: an exploratory study
- DOI
- 10.1080/14737140.2026.2733827
- Published
- 2026-09-16
- Container
- Expert Review of Anticancer Therapy
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/14737140.2026.2733827,
title = {Machine learning integrated explainable artificial intelligence in predicting toxicities of enfortumab vedotin in urothelial carcinoma: an exploratory study},
author = {Kannan Sridharan and Mattia Alberto Di Civita and Gowri Sivaramakrishnan and Luca Zacco and Wataru Fukuokaya and Takahiro Kimura and Takafumi Yanagisawa and Jindrich Kopecky and Tarek Taha and Gian Paolo Spinelli and Tomas Buchler and Brigida Anna Maiorano and Andrea Malgeri and Linda Cerbone and Fabio Calabrò and Jawaher Ansari and Se Hoon Park and Aristotelis Bamias and Daniele Santini and Matteo Santoni},
year = {2026},
journal = {Expert Review of Anticancer Therapy},
doi = {10.1080/14737140.2026.2733827},
url = {https://doi.org/10.1080/14737140.2026.2733827}
}RIS
TY - JOUR TI - Machine learning integrated explainable artificial intelligence in predicting toxicities of enfortumab vedotin in urothelial carcinoma: an exploratory study AU - Kannan Sridharan AU - Mattia Alberto Di Civita AU - Gowri Sivaramakrishnan AU - Luca Zacco AU - Wataru Fukuokaya AU - Takahiro Kimura AU - Takafumi Yanagisawa AU - Jindrich Kopecky AU - Tarek Taha AU - Gian Paolo Spinelli AU - Tomas Buchler AU - Brigida Anna Maiorano AU - Andrea Malgeri AU - Linda Cerbone AU - Fabio Calabrò AU - Jawaher Ansari AU - Se Hoon Park AU - Aristotelis Bamias AU - Daniele Santini AU - Matteo Santoni PY - 2026 JO - Expert Review of Anticancer Therapy DO - 10.1080/14737140.2026.2733827 UR - https://doi.org/10.1080/14737140.2026.2733827 ER -
APA
Sridharan, K., Civita, M. A. D., Sivaramakrishnan, G., Zacco, L., Fukuokaya, W., Kimura, T., Yanagisawa, T., Kopecky, J., Taha, T., Spinelli, G. P., Buchler, T., Maiorano, B. A., Malgeri, A., Cerbone, L., Calabrò, F., Ansari, J., Park, S. H., Bamias, A., Santini, D., & Santoni, M. (2026). Machine learning integrated explainable artificial intelligence in predicting toxicities of enfortumab vedotin in urothelial carcinoma: an exploratory study. Expert Review of Anticancer Therapy. https://doi.org/10.1080/14737140.2026.2733827
Source records
- crossref · retrieved 2026-09-25T22:26:08.947Z