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Remote Sensing for ADRD-Specific Activities Identification in Older Adults
NCT07120347 · View on ClinicalTrials.gov ↗
Study Summary
The investigators aim to use smart-home sensors and artificial intelligence (AI) to monitor and detect Alzheimer's Disease and Related Dementias (ADRD)-specific daily activities among older adults, with the goal of early symptom detection and personalized support. Dementia, which impacts memory and cognition, remains a global concern. In the United States, more than 6.7 million individuals aged 65 and older are living with ADRD, and projected annual healthcare costs are expected to reach $1 trillion by 2050. This underscores the need for deeper understanding and innovative support. To address the unique challenges associated with ADRD, such as cognitive decline, personalized strategies that promote independent well-being are essential. Smart-home sensors can support older adults with ADRD as they continue to live in their homes. These sensors provide real-time data on health and daily activities, offering insights into their daily lives. However, adoption of these technologies is low, and the practical application of AI remains limited. This highlights the need for further research to make these devices more accessible to this population. The investigators' aims include: Conducting focus groups with individuals with and without ADRD and their caregivers to identify daily activities that can be measured using in-home sensors; Collecting in-home sensor data from older adults with and without ADRD; and Using AI to develop a tool for recognizing daily activities. The integration of smart-home sensors with advanced data-analysis techniques holds significant potential for transforming the support and care provided to individuals with ADRD. Ultimately, the investigators' findings will contribute to improving the quality of life for affected individuals and alleviating the burden on caregivers and healthcare systems.
Conditions Studied
Interventions
- OTHER Remote Ambient Sensor System
Study Locations (1)
Missouri
- University of Missouri — Columbia
Trial Details
| Field | Value |
|---|---|
| Enrollment Target | 16 participants |
| Start Date | 2024-08-01 |
| Est. Completion | 2027-07-31 |
| Phase | NA |
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Full Details on ClinicalTrials.gov ↗What the Registry Record Tells You About NCT07120347
The ClinicalTrials.gov registry entry for NCT07120347 describes a study currently listed as recruiting. It is categorized as NA, which is the standard way researchers label where a study sits along the investigational pathway from early safety work through later efficacy and post-marketing evaluation. The registered enrollment target is 16 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is University of Missouri-Columbia, which has 275 total studies on file at ClinicalTrials.gov, and sponsors are the parties responsible for study design, oversight, and regulatory filings.
The record links to 2 conditions, with Mild Cognitive Impairment (MCI) appearing as the primary indexed condition, and to 1 intervention — of which Remote Ambient Sensor System is the first listed. Interventions can include drugs, devices, procedures, behavioral programs, or observational arms, and each is tracked as a separate registry field so that downstream queries can filter accurately. When a trial lists multiple interventions, it usually reflects a multi-arm design or a comparison protocol rather than a single treatment being tested in isolation. The brief summary published in the registry is the clearest source of protocol intent and should be read before drawing conclusions from any sidebar tags.
Geographic footprint matters for practical reasons: NCT07120347 reports 1 study location spanning 1 distinct geographic area — top geographies include Missouri. A larger site network tends to correlate with broader recruitment capacity, but it does not imply anything about study quality, and site-level enrollment status can diverge from the overall registry status shown above. Every data point on this page comes from the public ClinicalTrials.gov dataset and is reproduced here for reference only; it is not a medical recommendation, an endorsement of the sponsor, or an invitation to enroll. Verify current status, eligibility criteria, and contact details directly at ClinicalTrials.gov, and discuss any participation decision with your own healthcare provider.
Frequently Asked Questions
What is clinical trial NCT07120347 about?
NCT07120347 is a clinical study titled "Remote Sensing for ADRD-Specific Activities Identification in Older Adults". The investigators aim to use smart-home sensors and artificial intelligence (AI) to monitor and detect Alzheimer's Disease and Related Dementias (ADRD)-specific daily activities among older adults, with the goal of early symptom detection and personalized support. Dementia, which impacts memory and ...
What is the current status of trial NCT07120347?
This trial is currently recruiting. It is a NA study. The enrollment target is 16 participants. The study started on 2024-08-01. Estimated completion is 2027-07-31.
What conditions does trial NCT07120347 study?
This clinical trial studies the following conditions: Mild Cognitive Impairment (MCI), Alzheimer Disease and Related Dementias (ADRD). These conditions were identified from the trial registry and reflect the primary focus areas of the research.
What interventions are being tested in trial NCT07120347?
The interventions under investigation include: Remote Ambient Sensor System (OTHER). Each intervention is being evaluated for safety and efficacy as part of this clinical study.
Who is sponsoring clinical trial NCT07120347?
This trial is sponsored by University of Missouri-Columbia, which has 275 total clinical trials registered on ClinicalTrials.gov. The sponsor is responsible for the study's design, funding, and regulatory compliance.
Where is trial NCT07120347 being conducted?
This trial has 1 study location across Missouri. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.
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