Assessing Treatment Heterogeneity in Predictive Models for HCC Retreatment Response.
0/5 보강
APA
Tan H, Liu H, et al. (2026). Assessing Treatment Heterogeneity in Predictive Models for HCC Retreatment Response.. Liver international : official journal of the International Association for the Study of the Liver, 46(3), e70529. https://doi.org/10.1111/liv.70529
MLA
Tan H, et al.. "Assessing Treatment Heterogeneity in Predictive Models for HCC Retreatment Response.." Liver international : official journal of the International Association for the Study of the Liver, vol. 46, no. 3, 2026, pp. e70529.
PMID
41641938 ↗
같은 제1저자의 인용 많은 논문 (5)
- Development and Validation of Predictive Machine Learning Models for Postoperative Recurrence and Microvascular Invasion in Hepatocellular Carcinoma Using Nuclear Magnetic Resonance Metabolomics.
- A Pharmacovigilance Study of Immune Checkpoint Inhibitor-Associated Cholangitis: Insights From the FDA Adverse Event Reporting System.
- exacerbates experimental colitis and colitis-associated colorectal cancer via pathogenic NETosis activation.
- Circulating levels of high mobility group box-1 and nucleophosmin/B23 proteins and clinical significance in debut non-small cell lung cancer patients.
- Comparative analysis of metabolome and transcriptomes to explore the inhibited influence of sonodynamic therapy combined with lonidamine on hepatocellular carcinoma.