[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100637454":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":10,"centralContacts":20,"locations":26,"responsibleParty":40,"collaborators":10,"id":42,"slug":43,"hasResults":44,"nctId":45,"briefTitle":46,"officialTitle":47,"acronym":48,"eligibilityCriteria":49,"healthyVolunteers":50,"sex":51,"minAge":52,"maxAge":10,"enrollmentInfo":53,"targetDuration":10,"studyType":56,"phases":10,"briefSummary":57,"conditions":58,"keywords":65,"overallStatus":28,"whyStopped":10,"lastUpdateSubmitDate":69,"lastUpdatePostDateStruct":70,"startDateStruct":73,"completionDateStruct":75,"leadSponsor":77,"locationsCount":78},{"fullName":5,"class":6},"OpenGenome","NETWORK",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Voluntary Submitters",null,"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.",[13],"Other: OpenGenome AI Platform",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":10},"OTHER","OpenGenome AI Platform","AI-assisted biomedical signal extraction from free-text symptom descriptions, cross-referenced against PubMed and ClinicalTrials.gov evidence sources.",[9],[21],{"name":22,"role":23,"phone":24,"phoneExt":10,"email":25},"Richard Koch","CONTACT","+491634168231","richard@opengenome.bio",[27],{"facility":5,"status":28,"city":29,"state":30,"zip":31,"country":32,"countryCode":33,"cosmosGeoPoint":34,"geoPoint":39,"contacts":10},"RECRUITING","Friedrichshain","State of Berlin","10243","Germany","DE",{"type":35,"coordinates":36},"Point",[37,38],13.45482,52.51559,{"lat":38,"lon":37},{"type":41,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100637454","biomedical-signal-extraction-from-symptom-descriptions-an-observational-registry-using-the-opengenome-platform-100637454",false,"NCT07578610","Biomedical Signal Extraction From Symptom Descriptions: An Observational Registry Using the OpenGenome Platform","Accuracy and Calibration of Evidence-Grounded Biomedical Signal Extraction From Free-Text Symptom Descriptions: A Prospective Observational Registry Using the OpenGenome Automated Research Instrument","OGNOME-REG","* Automated or programmatically generated submissions detected by rate limiting\n* Submissions containing no discernible symptom or health-related content",true,"ALL","18 Years",{"count":54,"type":55},1000,"ESTIMATED","OBSERVATIONAL","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.",[59,60,61,62,63,64],"Signs and Symptoms","Fever","Myalgia","Skin Diseases","Hemorrhagic Fever With Renal Syndrome","Zoonoses",[66,67,68],"biomedical signal extraction","symptom analysis","PubMed","2026-05-16",{"date":71,"type":72},"2026-05-19","ACTUAL",{"date":74,"type":72},"2026-05-05",{"date":76,"type":55},"2028-05-30",{"name":5,"class":6},1]