Home ›
Entities
› academia
› Machine learning based radiomic models outperform clinical biomarkers in predicting outcomes after immunotherapy for hepatocellular carcinoma
Machine learning based radiomic models outperform clinical biomarkers in predicting outcomes after immunotherapy for hepatocellular carcinoma
Research article (Journal of Hepatology, 2025) · cited 37× · AI/ML
Machine learning based radiomic models outperform clinical biomarkers in predicting outcomes after immunotherapy for hepatocellular carcinoma
Summary
Machine learning based radiomic models outperform clinical biomarkers in predicting outcomes after immunotherapy for hepatocellular carcinoma is a scholarly article[1].
Key Facts
Machine learning based radiomic models outperform clinical biomarkers in predicting outcomes after immunotherapy for hepatocellular carcinoma's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Machine learning based radiomic models outperform clinical biomarkers in predicting outcomes after immunotherapy for hepatocellular carcinoma. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-radiomic-models-outperform-clinical-biomarkers-in-predicting-outcomes-after-immunotherapy-for-hep
MLA“Machine learning based radiomic models outperform clinical biomarkers in predicting outcomes after immunotherapy for hepatocellular carcinoma.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-radiomic-models-outperform-clinical-biomarkers-in-predicting-outcomes-after-immunotherapy-for-hep.
BibTeX@misc{4ortxyz_machine-learning-based-radiomic-models-outperform-clinical-biomarkers-in-predicting-outcomes-after-immunotherapy-for-hep_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning based radiomic models outperform clinical biomarkers in predicting outcomes after immunotherapy for hepatocellular carcinoma}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-radiomic-models-outperform-clinical-biomarkers-in-predicting-outcomes-after-immunotherapy-for-hep}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning based radiomic models outperform clinical biomarkers in predicting outcomes after immunotherapy for hepatocellular carcinoma — https://4ort.xyz/entity/machine-learning-based-radiomic-models-outperform-clinical-biomarkers-in-predicting-outcomes-after-immunotherapy-for-hep (retrieved 2026-05-24)
