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 Sep 16
- Container
- Expert review of anticancer therapy
- Publisher
- Not recorded
- 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 = {Sridharan K and Di Civita MA and Sivaramakrishnan G and Zacco L and Fukuokaya W and Kimura T and Yanagisawa T and Kopecky J and Taha T and Spinelli GP and Buchler T and Maiorano BA and Malgeri A and Cerbone L and Calabrò F and Ansari J and Park SH and Bamias A and Santini D and Santoni M},
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 - Sridharan K AU - Di Civita MA AU - Sivaramakrishnan G AU - Zacco L AU - Fukuokaya W AU - Kimura T AU - Yanagisawa T AU - Kopecky J AU - Taha T AU - Spinelli GP AU - Buchler T AU - Maiorano BA AU - Malgeri A AU - Cerbone L AU - Calabrò F AU - Ansari J AU - Park SH AU - Bamias A AU - Santini D AU - Santoni M 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
K, S., MA, D. C., G, S., L, Z., W, F., T, K., T, Y., J, K., T, T., GP, S., T, B., BA, M., A, M., L, C., F, C., J, A., SH, P., A, B., D, S., & M, S. (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
- pubmed · retrieved 2026-11-10T14:16:04.862Z