A novel spatial framework to validate arsenic exposure gene expression profiling in bladder cancer using multiplex FISH and AI-powered digital pathology.
- DOI
- 10.1038/s41598-025-23396-y
- Published
- 2025 Oct 30
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-23396-y,
title = {A novel spatial framework to validate arsenic exposure gene expression profiling in bladder cancer using multiplex FISH and AI-powered digital pathology.},
author = {Singhal S and Singhal S and Gardner KL and Dikshit A and Doolittle E and Sens D and Sens MA and Miller ML and Aung STH and Singhal SK},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-23396-y},
url = {https://doi.org/10.1038/s41598-025-23396-y}
}RIS
TY - JOUR TI - A novel spatial framework to validate arsenic exposure gene expression profiling in bladder cancer using multiplex FISH and AI-powered digital pathology. AU - Singhal S AU - Singhal S AU - Gardner KL AU - Dikshit A AU - Doolittle E AU - Sens D AU - Sens MA AU - Miller ML AU - Aung STH AU - Singhal SK PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-23396-y UR - https://doi.org/10.1038/s41598-025-23396-y ER -
APA
S, S., S, S., KL, G., A, D., E, D., D, S., MA, S., ML, M., STH, A., & SK, S. (2025). A novel spatial framework to validate arsenic exposure gene expression profiling in bladder cancer using multiplex FISH and AI-powered digital pathology.. Scientific reports. https://doi.org/10.1038/s41598-025-23396-y
Source records
- pubmed · retrieved 2026-09-27T01:34:08.655Z