Deep-learning-driven tumor microenvironment profiling improves immunotherapy response prediction
- DOI
- 10.64898/2026.10.06.757143
- Published
- 2026-10-13
- Container
- Not recorded
- Publisher
- openRxiv
- Open access
- unknown
Credibility signals
uncertain Score 60/100 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.
- cautionPublication version: Identified as a preprint; peer review and later versions may change the record.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.64898/2026.10.06.757143,
title = {Deep-learning-driven tumor microenvironment profiling improves immunotherapy response prediction},
author = {Ruo Han Wang and Brooks A. Benard and Ilayda Ilerten and Sabrina Zdravkovic and Reem Al-Humadi and Sahar Nasr and Brooke Howitt and Andrew J. Gentles},
year = {2026},
doi = {10.64898/2026.10.06.757143},
url = {https://doi.org/10.64898/2026.10.06.757143}
}RIS
TY - JOUR TI - Deep-learning-driven tumor microenvironment profiling improves immunotherapy response prediction AU - Ruo Han Wang AU - Brooks A. Benard AU - Ilayda Ilerten AU - Sabrina Zdravkovic AU - Reem Al-Humadi AU - Sahar Nasr AU - Brooke Howitt AU - Andrew J. Gentles PY - 2026 DO - 10.64898/2026.10.06.757143 UR - https://doi.org/10.64898/2026.10.06.757143 ER -
APA
Wang, R. H., Benard, B. A., Ilerten, I., Zdravkovic, S., Al-Humadi, R., Nasr, S., Howitt, B., & Gentles, A. J. (2026). Deep-learning-driven tumor microenvironment profiling improves immunotherapy response prediction. https://doi.org/10.64898/2026.10.06.757143
Source records
- crossref · retrieved 2026-11-09T17:48:17.377Z