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

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.

Recruiting

Interested in participating?

Request Info

Key information

Conditions

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

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

OpenGenome

Friedrichshain, State of Berlin, 10243, Germany

Location status: Recruiting

About this study

OpenGenome is a publicly accessible, anonymous research instrument that maps free-text symptom descriptions to structured biological signals grounded in primary biomedical literature. Upon submission, the platform dispatches parallel queries to PubMed via NCBI E-utilities and ClinicalTrials.gov v2 API, retrieving up to 16 real sources per submission. A reasoning model constrained by a strict schema extracts a primary biological signal, up to five secondary signals, a plain-language correlation explanation, a confidence score, and a signal strength score. All scores are integers on a 0 to 100 scale. Sources are included by PMID or NCT identifier and are directly linkable for independent verification. This registry will analyze aggregate anonymized outputs to characterize signal consistency, score calibration, and population-level signal distributions.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

OpenGenome AI Platform

Other

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

Primary outcomes

Internal signal-source concordance rate

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

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

Study contacts

Contact information is provided by the study sponsor or research team.

Richard Koch

CONTACT

[email protected]

+491634168231

Sponsors and collaborators

Lead sponsor

OpenGenome

Network

Registry information

Official study title

Accuracy and Calibration of Evidence-Grounded Biomedical Signal Extraction From Free-Text Symptom Descriptions: A Prospective Observational Registry Using the OpenGenome Automated Research Instrument

Acronym: OGNOME-REG

Important dates

Study start: 2026
Primary completion: 2028
Study completion: 2028
First posted: May 11, 2026
Registry last updated: May 19, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed