[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100595523":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":8,"centralContacts":12,"locations":7,"responsibleParty":21,"collaborators":23,"id":26,"slug":27,"hasResults":28,"nctId":29,"briefTitle":30,"officialTitle":31,"acronym":7,"eligibilityCriteria":32,"healthyVolunteers":28,"sex":33,"minAge":34,"maxAge":7,"enrollmentInfo":35,"targetDuration":7,"studyType":38,"phases":7,"briefSummary":39,"conditions":40,"keywords":42,"overallStatus":50,"whyStopped":7,"lastUpdateSubmitDate":51,"lastUpdatePostDateStruct":52,"startDateStruct":55,"completionDateStruct":57,"leadSponsor":59,"locationsCount":7},{"fullName":5,"class":6},"Thymia Limited","INDUSTRY",null,[9],{"name":10,"affiliation":5,"role":11},"Alexandra L Georgescu, PhD","PRINCIPAL_INVESTIGATOR",[13,17],{"name":10,"role":14,"phone":15,"phoneExt":7,"email":16},"CONTACT","0044 7533848443","alexandra@thymia.ai",{"name":18,"role":14,"phone":19,"phoneExt":7,"email":20},"Emilia Molimpakis, PhD","0044 7541950731","emilia@thymia.ai",{"type":22,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR",[24],{"name":25,"class":6},"UCB Pharma","100595523","detecting-fatigue-from-voice-in-generalised-myasthenia-gravis-100595523",false,"NCT07033559","Detecting Fatigue From Voice in Generalised Myasthenia Gravis","Remote Digital Voice Biomarkers for Central Fatigue Detection in Generalised Myasthenia Gravis: An Online Single-Cohort Observational Study","Inclusion Criteria:\n\n* Adults ≥18 years old\n* Self-reported generalised Myasthenia Gravis diagnosis confirmed by healthcare provider for ≥6 months\n* Disease stability for ≥6 months (no hospitalisations, medication changes, or significant symptom worsening)\n* English as first language\n* Residence in US or UK\n* Vision adequate for screen reading (with aid or correction if necessary)\n* Access to internet-connected device with compatible browser and microphone\n* Adequate internet connectivity (≥5 Mbps download, ≥3 Mbps upload)\n* Ability to complete twice-daily assessments during specified time windows\n* Signed electronic informed consent\n\nExclusion Criteria:\n\n* Pure ocular Myasthenia Gravis\n* Diagnosed mild cognitive impairment or dyslexia\n* Speech or hearing impairments affecting voice recording\n* Unable to provide credible diagnostic information (healthcare provider diagnosis, antibody test results, current medications)\n* Major inconsistencies in reported medical history\n* Unsigned informed consent","ALL","18 Years",{"count":36,"type":37},240,"ESTIMATED","OBSERVATIONAL","The goal of this observational study is to learn if computer analysis of voice recordings can detect a type of exhaustion called \"central fatigue\" in adults with generalised myasthenia gravis.\n\nThe main questions it aims to answer are:\n\n1. Can advanced voice analysis accurately tell when participants are experiencing deep exhaustion based on how they speak?\n2. How easy and acceptable is voice-based fatigue monitoring for people with myasthenia gravis?\n\nParticipants will:\n\n1. Record themselves reading short passages and answering questions out loud twice daily (morning and evening), twice a week, for 4 weeks.\n2. Answer brief questionnaires about their energy levels, mood, and myasthenia gravis symptoms during each session.\n3. Use their own devices (computer, tablet, or smartphone) to complete all study activities online from home.",[41],"Myasthenia Gravis Generalised",[43,44,45,46,47,48,49],"myasthenia gravis","generalised myasthenia gravis","fatigue","voice biomarkers","digital health","speech analysis","artificial intelligence","NOT_YET_RECRUITING","2026-01-27",{"date":53,"type":54},"2026-01-28","ACTUAL",{"date":56,"type":37},"2026-02",{"date":58,"type":37},"2026-12",{"name":5,"class":6}]