Biomedical Signal Extraction From Symptom Descriptions: An Observational Registry Using the OpenGenome Platform

Sponsor
OpenGenome
Study ID
NCT07578610
Status
Recruiting
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Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Accepted

Interventions

  • OpenGenome AI Platform — OTHER
    AI-assisted biomedical signal extraction from free-text symptom descriptions, cross-referenced against PubMed and ClinicalTrials.gov evidence sources.

Study Details

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.

Key Dates

Start date
May 5, 2026
Status verified
May 2026
Primary completion
May 5, 2028
Completion
May 30, 2028

Study Design

Enrollment
1,000 participants (estimated)

Arms

  • Arm: Voluntary Submitters
    Adults aged 18 or older who voluntarily submit a free-text symptom description via the OpenGenome platform and receive a structured biological signal report. No intervention is assigned.

Primary Outcome Measure

Internal signal-source concordance rate [ Time Frame: At point of automated report generation, assessed continuously over 12 months ]

Central Contacts

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