ClinicalTrials.gov
public full text
Public Domain
A Cost Effective and Time Saving Blood Test to Detect Six Human Bloodborne Infectious Diseases
The consortium will develop a new in vitro diagnostic (IVD) test to screen donated blood for bloodborne infectious pathogens, saving blood banks time and costs required for analysis of mandatory pathogens. The IVD test is a multiplex immunoassay that simultaneously screens for six bloodborne infectious diseases per blood sample. In this project, a mix of diagnostic protein markers will be developed and validated to lowdown an IVD test ready for commercial scale-up and CE-IVD certification.
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
- Truenat™ HCV RNA Assay Evaluation#827723
- Clinical Evaluation of the VitaSIRO Solo™ Respiratory Assay#829637
- Neutrophil CD64 for Early Diagnosis of Nosocomial Infection in Preterm Newborns#837267
- Early Identification of SEPsis SIGNs in Emergency Department#1102431
- Host Response to Infection by Direct Analysis of Leukocyte Single Cell-type Gene Expression/transcript Abundance, Direct LS-TA. a Prospective Study Will Evaluate the Performance of Direct LS-TA in Triage Febrile Patients Into Major Categories of Infections: Viral, Bacterial or Active Tuberculosis.#1074549
Record · ID 848964
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