DataCite
metadata only
Machine learning for Improving Risk Stratification of Hepatocellular Carcinoma (HCC) Patients Treated with Immune Checkpoint Inhibitors (ICIs)
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A Platform Trial for Personalized and Adaptive Therapies in Hepatocellular Carcinoma#853805
- Using Machine Learning to Identify Responders to TACE or HAIC for uHCC#873517
- A Study of the Application of HAIC in Advanced HCC Previously Treated With ICIs and Antiangiogenic Agents#969224
- Adjuvant Tislelizumab Plus Lenvatinib for Patients at High-risk of HCC Recurrence After Curative Resection or Ablation#803326
- Development of multi-algorithm machine learning models integrating novel serum biomarkers for survival prediction in colorectal cancer: a retrospective cohort study.#1147044
Record · ID 13290
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive