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

No results posted yet for this study

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

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07578610 on ClinicalTrials.gov