Biomedical Signal Extraction From Symptom Descriptions: An Observational Registry Using the OpenGenome Platform
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: OpenGenome AI Platform.
- Who it may be relevant to
- Registry conditions: Signs and Symptoms, Fever, Myalgia, Skin Diseases. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Germany
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official 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
Overview
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.
Detailed description
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.
Interventions
- Other OpenGenome AI Platform
AI-assisted biomedical signal extraction from free-text symptom descriptions, cross-referenced against PubMed and ClinicalTrials.gov evidence sources.
Primary outcome measures
- Internal signal-source concordance rate [Time frame: At point of automated report generation, assessed continuously over 12 months]
Eligibility criteria
- Automated or programmatically generated submissions detected by rate limiting
- Submissions containing no discernible symptom or health-related content
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Observational model
- Ecologic or community
Study locations
Germany · 1 center
- OpenGenome — Friedrichshain
Identifiers
NCT: NCT07578610 · OGNOME-OBS-2026-001