Machine learning algorithms for post-Kasai biliary atresia-like cholestasis recurrence: a conceptual framework integrating multi-omics and environmental nanoparticle exposure.
- DOI
- 10.1097/meg.0000000000003245
- Published
- 2026 Oct 1
- Container
- European journal of gastroenterology & hepatology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1097/meg.0000000000003245,
title = {Machine learning algorithms for post-Kasai biliary atresia-like cholestasis recurrence: a conceptual framework integrating multi-omics and environmental nanoparticle exposure.},
author = {Emaan and Hanif A and Fatima N},
year = {2026},
journal = {European journal of gastroenterology \& hepatology},
doi = {10.1097/meg.0000000000003245},
url = {https://doi.org/10.1097/meg.0000000000003245}
}RIS
TY - JOUR TI - Machine learning algorithms for post-Kasai biliary atresia-like cholestasis recurrence: a conceptual framework integrating multi-omics and environmental nanoparticle exposure. AU - Emaan AU - Hanif A AU - Fatima N PY - 2026 JO - European journal of gastroenterology & hepatology DO - 10.1097/meg.0000000000003245 UR - https://doi.org/10.1097/meg.0000000000003245 ER -
APA
Emaan, A, H., & N, F. (2026). Machine learning algorithms for post-Kasai biliary atresia-like cholestasis recurrence: a conceptual framework integrating multi-omics and environmental nanoparticle exposure.. European journal of gastroenterology & hepatology. https://doi.org/10.1097/meg.0000000000003245
Source records
- pubmed · retrieved 2026-09-27T12:21:13.720Z