[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100644224":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":12,"centralContacts":16,"locations":10,"responsibleParty":22,"collaborators":10,"id":24,"slug":25,"hasResults":26,"nctId":27,"briefTitle":28,"officialTitle":28,"acronym":29,"eligibilityCriteria":30,"healthyVolunteers":31,"sex":32,"minAge":33,"maxAge":10,"enrollmentInfo":34,"targetDuration":10,"studyType":37,"phases":10,"briefSummary":38,"conditions":39,"keywords":41,"overallStatus":46,"whyStopped":10,"lastUpdateSubmitDate":47,"lastUpdatePostDateStruct":48,"startDateStruct":51,"completionDateStruct":53,"leadSponsor":55,"locationsCount":10},{"fullName":5,"class":6},"Luxembourg Institute of Health","OTHER_GOV",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Main arm",null,"Regular assessments will be done during the 60-month follow-up. On-site study visits - The study visits will take place in noise-reduction study booths equipped installed in a dedicated space in the hospital. Participants will be able to schedule these visits just before or just after their potential medical appointment at the hospital.\n\nOn-site follow-up visits frequency will be adapted to the participant's situation, which may vary during the follow-up period:\n\n* During hospital stay: visit frequencies will depend on hospitalization duration (and can be adapted to the participant's health status):\n* Stay \\\u003C 1 week: each day\n* Stay between 1 week and 2 months: each week\n* Stay \\> 2 months: each month At-home monitoring: Throughout the study, participants will be asked to complete non-mandatory, brief regular assessments and more in-depth health evaluations, both of which will include voice recordings, using a smartphone app developed and provided by the LIH.",[13],{"name":14,"affiliation":5,"role":15},"Guy Fagherazzi, PhD","PRINCIPAL_INVESTIGATOR",[17],{"name":18,"role":19,"phone":20,"phoneExt":10,"email":21},"Aurélie Fischer, PhD","CONTACT","0035226970230","aurelie.fischer@lih.lu",{"type":23,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100644224","vocal-biomarkers-for-health-monitoring-an-open-longitudinal-hybrid-cohort-study-100644224",false,"NCT07665229","VOCAL BIOMARKERS FOR HEALTH MONITORING: AN OPEN LONGITUDINAL HYBRID COHORT STUDY","SONAR","Inclusion Criteria:\n\n* Adults ≥ 18 years.\n* Able to understand the study, provide informed consent and comply with study procedures (with reasonable accommodations as needed).\n* Speaks one of the study languages (FR\u002FEN\u002FDE\u002FPT).\n* Owns a smartphone compatible with the study app.\n\nExclusion Criteria:\n\n* \\- Acute clinical instability at inclusion (e.g., need for immediate medical care, severe respiratory distress, hospitalized patients not allowed to go out of their room) where study procedures could interfere with care.\n* Any other condition that, in the judgement of the Medical PI or delegated qualified staff, would place the participant at unreasonable risk or prevent meaningful participation, despite accommodations.",true,"ALL","18 Years",{"count":35,"type":36},3700,"ESTIMATED","OBSERVATIONAL","Voice could be considered a new vital sign in the future, being collected in routine care and complement other medical assessments.\n\nVocal biomarkers (VB) are voice characteristics that are specific to a disease or symptom. They can be utilized in clinical practice for remote disease monitoring, screening for diseases, or in clinical research as secondary endpoints to evaluate the efficacy of a treatment or intervention. They can also be used during enhanced consultations to screen for diseases or monitor the progression of a chronic disease, in services to identify at-risk patients, and at home to track patients' symptoms and general health status between consultations.\n\nDespite the potential of VB and many progresses, few have reached the stage of use in clinical routine.\n\nAt LIH, the Deep Digital Phenotyping research lab gained experience in the voice-related research field since 2019, with the implementation of methodological tools to collect and pre-process voice recordings, and with the development of vocal biomarker candidates in several therapeutic domains or symptoms (Type 2 diabetes, fatigue, COVID-19 and Long COVID, respiratory health, mental health, etc.) VB is an early-stage research topic; one needs to accelerate the development, validation and integration of vocal biomarkers for personalized medicine and innovative tools - both for clinical practice and remote patient monitoring.\n\nUntil now, VB candidates have been developed disease by disease, and there is a lack of data on the influence of concomitant diseases on voice signatures. Therefore, the next vital step to improve vocal biomarkers and assess their specificity is to compare them with both control groups, those without the disease, and those with other diseases.\n\nThe study is a cohort of adult people attending one of the hospitals in Luxembourg, either for an hospitalization, a consultation, or a simple visit, regardless of their health conditions. Study will be conducted in French, English, German, and Portuguese which are the most frequent languages in Luxembourg.\n\nStudy participants will be followed up over a 5 years period of time, with on-site study visits in study booths installed in the different hospitals in Luxembourg and at-home monitoring in-between visits, using a smartphone app to collect study data.\n\nDuring both study visits and at-home monitoring voice recordings will be collected together with health data. This will allow to understand how voice evolves with time in a given individual, and to identify VB specific to diseases like diabetes, or to symptoms common to several chronic diseases like fatigue or mental health problems.",[40],"Any Condition",[42,43,44,45],"Vocal biomarkers","Chronic disases","General health","Symptoms","NOT_YET_RECRUITING","2026-06-24",{"date":49,"type":50},"2026-06-29","ACTUAL",{"date":52,"type":36},"2026-07",{"date":54,"type":36},"2031-05",{"name":5,"class":6}]