ClinicalTrials.gov
public full text
Public Domain
Development of an Algorithm to Better Predict Clinical Responsiveness to Peanut
The purpose of this study is to develop a tool to better predict clinical allergy to peanut, so that those who are skin test positive but non allergic will not have to unnecessarily avoid peanut, and those with true allergy can be diagnosed, possibly without oral ingestion challenge, and treated appropriately
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
- Study of Oral Food Challenge Biomarkers (SAFER)#801639
- How Healthy Adults Respond to the Nasal Flu Vaccine#911407
- Early risk assessment and recognition of allergies in children: rationale, methodology, and proposed algorithms / E. Hamelmann, B. Schaub, Katharina Beyer, K. Blümchen, Michael Gerstlauer, M. V. Kopp, L. Lange, S. Lau, N. Maison, H. Ott, S. M. Schmidt, T. Spindler, Claudia Traidl‐Hoffmann, C. Vogelberg#783960
- VALIDATION OF THE CHAPTER "ALLERGIES AND HYPERSENSITIVITY" OF THE INTERNATIONAL DISEASE CLASSIFICATION (CIM)#1102807
- Allergy UK Research and Development Nurse Project#877775
Record · ID 1125919
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