Home ›
Entities
› academia
› Pilot Study Using Machine Learning to Identify Immune Profiles for the Prediction of Early Virological Relapse After Stopping Nucleos(t)ide Analogues in HBeAg-Negative CHB
Pilot Study Using Machine Learning to Identify Immune Profiles for the Prediction of Early Virological Relapse After Stopping Nucleos(t)ide Analogues in HBeAg-Negative CHB
Research article (Hepatology Communications, 2020) · cited 21× · AI/ML
Pilot Study Using Machine Learning to Identify Immune Profiles for the Prediction of Early Virological Relapse After Stopping Nucleos(t)ide Analogues in HBeAg-Negative CHB
Summary
Pilot Study Using Machine Learning to Identify Immune Profiles for the Prediction of Early Virological Relapse After Stopping Nucleos(t)ide Analogues in HBeAg-Negative CHB is a scholarly article[1].
Key Facts
Pilot Study Using Machine Learning to Identify Immune Profiles for the Prediction of Early Virological Relapse After Stopping Nucleos(t)ide Analogues in HBeAg-Negative CHB'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). Pilot Study Using Machine Learning to Identify Immune Profiles for the Prediction of Early Virological Relapse After Stopping Nucleos(t)ide Analogues in HBeAg-Negative CHB. Retrieved May 24, 2026, from https://4ort.xyz/entity/pilot-study-using-machine-learning-to-identify-immune-profiles-for-the-prediction-of-early-virological-relapse-after-sto
MLA“Pilot Study Using Machine Learning to Identify Immune Profiles for the Prediction of Early Virological Relapse After Stopping Nucleos(t)ide Analogues in HBeAg-Negative CHB.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pilot-study-using-machine-learning-to-identify-immune-profiles-for-the-prediction-of-early-virological-relapse-after-sto.
BibTeX@misc{4ortxyz_pilot-study-using-machine-learning-to-identify-immune-profiles-for-the-prediction-of-early-virological-relapse-after-sto_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pilot Study Using Machine Learning to Identify Immune Profiles for the Prediction of Early Virological Relapse After Stopping Nucleos(t)ide Analogues in HBeAg-Negative CHB}}, year = {2026}, url = {https://4ort.xyz/entity/pilot-study-using-machine-learning-to-identify-immune-profiles-for-the-prediction-of-early-virological-relapse-after-sto}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Pilot Study Using Machine Learning to Identify Immune Profiles for the Prediction of Early Virological Relapse After Stopping Nucleos(t)ide Analogues in HBeAg-Negative CHB — https://4ort.xyz/entity/pilot-study-using-machine-learning-to-identify-immune-profiles-for-the-prediction-of-early-virological-relapse-after-sto (retrieved 2026-05-24)
