Biomedical Signal Extraction From Symptom Descriptions: An Observational Registry Using the OpenGenome Platform
NCT07578610 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000
Last updated 2026-05-19
Summary
This registry prospectively collects anonymized free-text symptom descriptions submitted voluntarily by adults through the OpenGenome platform at opengenome.bio. For each submission, the system retrieves real biomedical literature from PubMed and ClinicalTrials.gov in parallel, applies a constrained reasoning model operating under a strict output schema, and returns a structured biological signal report. The study evaluates the internal consistency of extracted signals, the calibration of confidence scores relative to dataset size and symptom specificity, and the distribution of biological signal categories across a large anonymous population. No intervention is assigned. No participant contact occurs. All data is anonymized at the point of collection.
Conditions
- Signs and Symptoms
- Fever
- Myalgia
- Skin Diseases
- Hemorrhagic Fever With Renal Syndrome
- Zoonoses
Interventions
- OTHER
-
OpenGenome AI Platform
AI-assisted biomedical signal extraction from free-text symptom descriptions, cross-referenced against PubMed and ClinicalTrials.gov evidence sources.
Sponsors & Collaborators
-
OpenGenome
lead NETWORK
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-05-05
- Primary Completion
- 2028-05-05
- Completion
- 2028-05-30
Countries
- Germany
Study Locations
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