ClinicalTrials.gov
public full text
Public Domain
Short Non-coding RNA Biomarkers of Predisposition to Ovarian Cancer
The purpose of this study is to create new tests to identify biomarkers for ovarian cancer so that a screening test can be developed. For patients who have a diagnosis of ovarian Cancer, researchers will use blood samples before and after treatment to see if disease status can be determined by measuring the amount of biomarker.
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
- Early Detection of Ovarian Cancer Using Plasma Cell-free DNA Fragmentomics (Retrospective Study)#831741
- The future of early cancer detection: emerging diagnostic technologies for liver and ovarian cancers#475686
- Prognostic biomarkers in ovarian cancer#129210
- A machine learning framework combining cfDNA fragmentomics and serum biomarkers for early ovarian cancer detection.#297268
- Evaluation of Prognostic Monitoring for Women Who Have Completed Standard Treatment for Ovarian Cancer#872190
Record · ID 1072679
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