[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100640521":3},{"organization":4,"armGroups":7,"interventions":26,"overallOfficials":32,"centralContacts":36,"locations":45,"responsibleParty":61,"collaborators":10,"id":63,"slug":64,"hasResults":65,"nctId":66,"briefTitle":67,"officialTitle":68,"acronym":69,"eligibilityCriteria":70,"healthyVolunteers":71,"sex":72,"minAge":73,"maxAge":10,"enrollmentInfo":74,"targetDuration":77,"studyType":78,"phases":10,"briefSummary":79,"conditions":80,"keywords":94,"overallStatus":114,"whyStopped":10,"lastUpdateSubmitDate":115,"lastUpdatePostDateStruct":116,"startDateStruct":119,"completionDateStruct":121,"leadSponsor":123,"locationsCount":124},{"fullName":5,"class":6},"Truway Health, Inc.","INDUSTRY",[8,14,18,22],{"label":9,"type":10,"description":11,"interventionNames":12},"Retail Investors \u002F Active Traders Cohort",null,"Participants actively engaged in retail equity, options, futures, cryptocurrency, or other financial trading activities who are exposed to frequent market volatility and information-driven financial stress environments.",[13],"Device: Wearable Physiologic Monitoring Platform",{"label":15,"type":10,"description":16,"interventionNames":17},"Financial Professionals Cohort","Participants employed in financial services, institutional trading, investment banking, hedge funds, private equity, fintech, wealth management, or related high-stress financial occupations.",[13],{"label":19,"type":10,"description":20,"interventionNames":21},"General Population Control Cohort","Participants from the general population with varying levels of financial market exposure serving as a comparative baseline cohort for physiologic and behavioral stress-response analysis.",[13],{"label":23,"type":10,"description":24,"interventionNames":25},"High Digital Media Exposure Cohort","Participants with elevated exposure to financial news, algorithmic media feeds, social media platforms, and information-intensive digital environments associated with financial and geopolitical stress signaling.",[13],[27],{"type":28,"name":29,"description":30,"armGroupLabels":31,"otherNames":10},"DEVICE","Wearable Physiologic Monitoring Platform","Commercially available wearable physiologic monitoring devices and digital health technologies will be used to collect continuous or intermittent biometric, cardiovascular, autonomic nervous system, behavioral, and sleep-related data during exposure to financial market volatility, economic uncertainty, and information-driven stress environments.\n\nMonitoring technologies may include:\n\nwearable ECG devices, heart rate variability (HRV) monitors, blood pressure monitoring systems, sleep tracking devices, galvanic skin response sensors, activity monitoring wearables, voice analysis systems, and optional EEG-enabled wearable technologies.\n\nData generated from these systems will be integrated with artificial intelligence and machine learning-based analytics platforms for evaluation of physiologic stress responses and digital biomarker forecasting.",[15,19,23,9],[33],{"name":34,"affiliation":5,"role":35},"Gavin C Solomon, Investigator","PRINCIPAL_INVESTIGATOR",[37,41],{"name":34,"role":38,"phone":39,"phoneExt":10,"email":40},"CONTACT","15167685264","gavin@truwayhealth.com",{"name":42,"role":38,"phone":43,"phoneExt":10,"email":44},"Dr. Alicia Levin, M.D.","1-833-TRUWAY-1","irb@truwayhealth.com",[46],{"facility":5,"status":10,"city":47,"state":47,"zip":48,"country":49,"countryCode":50,"cosmosGeoPoint":51,"geoPoint":56,"contacts":57},"New York","10016","United States","US",{"type":52,"coordinates":53},"Point",[54,55],-74.00597,40.71427,{"lat":55,"lon":54},[58],{"name":59,"role":38,"phone":60,"phoneExt":10,"email":40},"Gavin C Solomon, CEO","5167685264",{"type":62,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100640521","neurofinance-human-stress-trial-during-financial-and-informational-volatility-100640521",false,"NCT07622589","NeuroFinance Human Stress Trial During Financial and Informational Volatility","NeuroFinance Human Stress Trial During Financial and Informational Volatility (NFHST)","NFHST","Inclusion Criteria:\n\n* Adults age 18 years and older.\n* Ability to provide informed consent.\n* Willingness and ability to comply with study procedures and remote monitoring requirements.\n* Access to a compatible smartphone, tablet, or internet-connected device for decentralized study participation.\n* Willingness to utilize wearable physiologic monitoring technologies during the study period.\n* Participants with varying degrees of financial market exposure, occupational stress exposure, or digital media exposure are eligible.\n* Healthy volunteers and participants with self-reported stress-related symptoms may be enrolled.\n* Ability to read and understand English-language consent and study materials.\n\nExclusion Criteria:\n\n* Individuals unable or unwilling to provide informed consent.\n* Individuals unable to comply with remote monitoring procedures or wearable device usage requirements.\n* Active medical or psychiatric instability that, in the opinion of study investigators, may interfere with study participation or data integrity.\n* Current incarceration or institutionalization limiting voluntary participation.\n* Participation in another interventional clinical trial that may substantially interfere with physiologic monitoring outcomes.\n* Any condition that would significantly impair safe study participation as determined by the study investigators.",true,"ALL","18 Years",{"count":75,"type":76},2500,"ESTIMATED","24 Months","OBSERVATIONAL","The NeuroFinance Human Stress Trial (NFHST-2026-001) is a decentralized observational clinical study designed to evaluate how financial market volatility, economic uncertainty, digital media exposure, and information-driven stress environments affect human physiologic and behavioral health. Participants will undergo remote monitoring using wearable biosensors, cardiovascular telemetry devices, sleep tracking systems, heart rate variability monitoring, and behavioral analytics platforms. The study will use artificial intelligence and machine learning systems to analyze relationships between external financial and informational events and biologic stress responses, including autonomic nervous system activity, sleep disruption, cardiovascular strain, emotional resilience, and inflammatory signaling. The goal of the study is to develop predictive digital biomarkers and AI-assisted forecasting systems capable of identifying stress-related physiologic deterioration before clinical manifestation.",[81,82,83,84,85,86,87,88,89,90,91,92,93],"Psychological Stress","Anxiety","Emotional Stress","Autonomic Nervous System Dysfunction","Sleep Disturbance","Insomnia","Behavioral Health","Cognitive Fatigue","Occupational Stress","Financial Stress","Burnout Syndrome","Heart Rate Variability","Neurobehavioral Manifestations",[95,96,97,98,99,100,92,101,102,103,104,105,106,107,108,109,110,111,112,113],"NeuroFinance","Financial Stress Medicine","Wearable Biosensors","Artificial Intelligence","Machine Learning","Digital Biomarkers","Sleep Monitoring","Behavioral Analytics","Cardiovascular Telemetry","Decentralized Clinical Trial","Emotional Resilience","Physiologic Stress","Market Volatility","Economic Uncertainty","Social Media Exposure","Cognitive Performance","Stress Forecasting","Precision Wellness","Remote Patient Monitoring","NOT_YET_RECRUITING","2026-05-27",{"date":117,"type":118},"2026-06-03","ACTUAL",{"date":120,"type":76},"2026-07-15",{"date":122,"type":76},"2029-06-30",{"name":5,"class":6},1]