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Multimodal Digital Biomarker Prediction of Acute Clinical Deterioration
Sponsor: Truway Health, Inc.
Summary
Rather than relying on a single abnormal vital sign, the study will examine how multiple physiologic signals change together over time and whether changes in the relationships among these signals provide useful information about impending clinical deterioration. Individual participant physiologic patterns may be characterized longitudinally to account for differences between individuals and changes within the same individual over time. The primary objective is to evaluate the predictive accuracy of multimodal digital biomarkers for protocol-defined acute clinical deterioration occurring within 72 hours. The study is observational and does not assign participants to an investigational treatment.
Official title: Multimodal Physiologic Signal Fusion for 72-Hour Prediction of Acute Clinical Deterioration
Key Details
Gender
All
Age Range
18 Years - 90 Years
Study Type
OBSERVATIONAL
Enrollment
10000
Start Date
2026-09-01
Completion Date
2039-03-31
Last Updated
2026-09-14
Healthy Volunteers
No
Conditions
Interventions
Multimodal Digital Biomarker Monitoring
Prospective collection and analysis of multimodal digital biomarkers derived from wearable and remote-monitoring technologies, including ECG, PPG, oxygen saturation, temperature, gait, sleep, voice, cough, and participant-reported symptom data. The monitoring is observational and does not direct or replace clinical care, does not assign treatment, and does not require modification of participants' usual medical management. Multimodal signals will be temporally aligned and evaluated for changes in inter-signal relationships associated with protocol-defined clinical deterioration occurring within the subsequent 72-hour prediction window.
Locations (1)
Truway Health, Inc.
New York, New York, United States