Machine Learning Predicts Treatment Response and Prognostic Pathways From Whole‐Blood Transcriptome in Primary Biliary Cholangitis
- DOI
- 10.1111/liv.70764
- Published
- 2026-07-14
- Container
- Liver International
- Publisher
- Wiley
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1111/liv.70764,
title = {Machine Learning Predicts Treatment Response and Prognostic Pathways From Whole‐Blood Transcriptome in Primary Biliary Cholangitis},
author = {Hussain Syed and Ning Sun and Doaa Waly and Varinder Verma and Matthew Smith and David Shapiro and Mary Erickson and Kathy Siminovitch and Mark Swain and Mohammed S. Osman and Andrew L. Mason},
year = {2026},
journal = {Liver International},
doi = {10.1111/liv.70764},
url = {https://doi.org/10.1111/liv.70764}
}RIS
TY - JOUR TI - Machine Learning Predicts Treatment Response and Prognostic Pathways From Whole‐Blood Transcriptome in Primary Biliary Cholangitis AU - Hussain Syed AU - Ning Sun AU - Doaa Waly AU - Varinder Verma AU - Matthew Smith AU - David Shapiro AU - Mary Erickson AU - Kathy Siminovitch AU - Mark Swain AU - Mohammed S. Osman AU - Andrew L. Mason PY - 2026 JO - Liver International DO - 10.1111/liv.70764 UR - https://doi.org/10.1111/liv.70764 ER -
APA
Syed, H., Sun, N., Waly, D., Verma, V., Smith, M., Shapiro, D., Erickson, M., Siminovitch, K., Swain, M., Osman, M. S., & Mason, A. L. (2026). Machine Learning Predicts Treatment Response and Prognostic Pathways From Whole‐Blood Transcriptome in Primary Biliary Cholangitis. Liver International. https://doi.org/10.1111/liv.70764
Source records
- crossref · retrieved 2026-09-25T09:17:00.439Z