Computational and AI-Enabled Imaging Biomarkers for Predicting and Assessing Immunotherapy Response in Oral Squamous Cell Carcinoma: A Systematic Review with Functional Meta-Synthesis.
- DOI
- 10.3390/medsci14050554
- Published
- 2026 Sep 8
- Container
- Medical sciences (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/medsci14050554,
title = {Computational and AI-Enabled Imaging Biomarkers for Predicting and Assessing Immunotherapy Response in Oral Squamous Cell Carcinoma: A Systematic Review with Functional Meta-Synthesis.},
author = {Ardila CM and Vivares-Builes AM and Pineda-Vélez E},
year = {2026},
journal = {Medical sciences (Basel, Switzerland)},
doi = {10.3390/medsci14050554},
url = {https://doi.org/10.3390/medsci14050554}
}RIS
TY - JOUR TI - Computational and AI-Enabled Imaging Biomarkers for Predicting and Assessing Immunotherapy Response in Oral Squamous Cell Carcinoma: A Systematic Review with Functional Meta-Synthesis. AU - Ardila CM AU - Vivares-Builes AM AU - Pineda-Vélez E PY - 2026 JO - Medical sciences (Basel, Switzerland) DO - 10.3390/medsci14050554 UR - https://doi.org/10.3390/medsci14050554 ER -
APA
CM, A., AM, V., & E, P. (2026). Computational and AI-Enabled Imaging Biomarkers for Predicting and Assessing Immunotherapy Response in Oral Squamous Cell Carcinoma: A Systematic Review with Functional Meta-Synthesis.. Medical sciences (Basel, Switzerland). https://doi.org/10.3390/medsci14050554
Source records
- pubmed · retrieved 2026-09-25T11:02:52.457Z