Intestinal transcriptomic analysis and prediction of biomarkers associated with mucosal healing following vedolizumab treatment in ulcerative colitis using machine learning
- DOI
- 10.1186/s12876-025-04599-z
- Published
- 2026-01-17
- Container
- BMC Gastroenterology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12876-025-04599-z,
title = {Intestinal transcriptomic analysis and prediction of biomarkers associated with mucosal healing following vedolizumab treatment in ulcerative colitis using machine learning},
author = {Katsuyoshi Ando and Shin Kashima and Aki Sakatani and Hiroaki Konishi and Atsuo Maemoto and Takahiro Ito and Masaki Taruishi and Kaori Ishiguro and Mikihiro Fujiya},
year = {2026},
journal = {BMC Gastroenterology},
doi = {10.1186/s12876-025-04599-z},
url = {https://doi.org/10.1186/s12876-025-04599-z}
}RIS
TY - JOUR TI - Intestinal transcriptomic analysis and prediction of biomarkers associated with mucosal healing following vedolizumab treatment in ulcerative colitis using machine learning AU - Katsuyoshi Ando AU - Shin Kashima AU - Aki Sakatani AU - Hiroaki Konishi AU - Atsuo Maemoto AU - Takahiro Ito AU - Masaki Taruishi AU - Kaori Ishiguro AU - Mikihiro Fujiya PY - 2026 JO - BMC Gastroenterology DO - 10.1186/s12876-025-04599-z UR - https://doi.org/10.1186/s12876-025-04599-z ER -
APA
Ando, K., Kashima, S., Sakatani, A., Konishi, H., Maemoto, A., Ito, T., Taruishi, M., Ishiguro, K., & Fujiya, M. (2026). Intestinal transcriptomic analysis and prediction of biomarkers associated with mucosal healing following vedolizumab treatment in ulcerative colitis using machine learning. BMC Gastroenterology. https://doi.org/10.1186/s12876-025-04599-z
Source records
- crossref · retrieved 2026-09-25T21:46:16.982Z