NCBI PubMed Central
open access
Improving stroke risk prediction in atrial fibrillation with circulating biomarkers: the CHA(2)DS(2)-VASc-Biomarkers model.
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
- Multi-omics profiling of circulating proteins and metabolites in persistent atrial fibrillation: VDAC1 identified as a candidate circulating protein.#685583
- Targeted metabolomic profiling and machine learning-based prediction models for persistent atrial fibrillation: a multi-center observational study.#442883
- Evaluating PERFAMLI and CHA₂DS₂-VASc scoring systems in predicting left atrial thrombosis in non-valvular atrial fibrillation.#174555
- Predicting Risk of Atrial Fibrillation and Association With Other Diseases#910272
- Integrating Patient-Reported Outcomes into Clinical Pathways in Atrial Fibrillation: A Framework Aligned with the AF-CARE Model.#182652
Record · ID 433936
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