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

NCT07578610 | Recruiting DMC

• 1 other identifier: OGNOME-OBS-2026-001
• Study Type: observational
• Target: 1,000
• Locations: 1 country
• Sites: 1

Brief 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

Fever; Skin Diseases; Zoonoses; Signs and Symptoms; Myalgia; Hemorrhagic Fever With Renal Syndrome

Keywords

biomedical signal extraction; symptom analysis; PubMed

Outcome Measures

Primary Outcomes (1)

• Internal signal-source concordance rate

  Proportion of primary signal claims in generated reports that are traceable to at least one retrieved PubMed or ClinicalTrials.gov source included in the same report

  At point of automated report generation, assessed continuously over 12 months

Study Arms (1)

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.

Other: OpenGenome AI Platform

Interventions

OpenGenome AI Platform OTHER

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

Voluntary Submitters

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Adults aged 18 years or older who voluntarily access the OpenGenome platform at opengenome.bio and submit a free-text description of symptoms or health-related observations for automated biomedical signal analysis.

* Automated or programmatically generated submissions detected by rate limiting * Submissions containing no discernible symptom or health-related content

Contact the study team to discuss eligibility requirements. They can help determine if this study is right for you.

Sponsors & Collaborators

• OpenGenome: lead

Study Sites (1)

OpenGenome

Friedrichshain, State of Berlin, 10243, Germany

RECRUITING

MeSH Terms

Conditions

Signs and Symptoms; Fever; Myalgia; Skin Diseases; Hemorrhagic Fever with Renal Syndrome; Zoonoses

Condition Hierarchy (Ancestors)

Pathological Conditions, Signs and Symptoms; Body Temperature Changes; Muscular Diseases; Musculoskeletal Diseases; Neuromuscular Diseases; Nervous System Diseases; Musculoskeletal Pain; Pain; Neurologic Manifestations; Skin and Connective Tissue Diseases; Hantavirus Infections; Bunyaviridae Infections; RNA Virus Infections; Virus Diseases; Infections; Hemorrhagic Fevers, Viral; Animal Diseases

Central Study Contacts

Richard Koch

CONTACT

+491634168231; richard@opengenome.bio

Study Design

• Study Type: observational
• Observational Model: ECOLOGIC OR COMMUNITY
• Time Perspective: PROSPECTIVE
• Sponsor Type: NETWORK
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: May 5, 2026
• First Posted: May 11, 2026
• Study Start: May 5, 2026
• Primary Completion (Estimated): May 5, 2028
• Study Completion (Estimated): May 30, 2028
• Last Updated: May 19, 2026

Record last verified: 2026-05

Data Sharing

• IPD Sharing: Will not share

Locations

DE (1)