InsomniaPhase 2NCT07316153
Deep Sleep in Older Adults
A Phase 2 study testing SleepSpaceRx CBT-I-IoT-AI, SleepEZ CBTi and Sleep Hygiene IoT in people with Insomnia and Insomnia Chronic, run by Proactive Life Inc at 2 sites in United States.
Trial summary
This double blind randomized clinical trial on older independent-living healthy individuals with symptoms of insomnia will harness Cognitive Behavioral Therapy for Insomnia (CBT-I) and augment it with ambulatory data collection devices, personalized digital content, and smart sound and light cues (CBT-I +Internet of… Read more about this study
- Who is it for?
- Ages 55 years and older
- Conditions the study is for
- Insomnia, Insomnia Chronic
- What is being tested?
- SleepSpaceRx CBT-I-IoT-AI, SleepEZ CBTi and Sleep Hygiene IoT
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 180 participants
- Where
- 2 sitesUnited States
- Study dates
- 30 Sep 2026to 30 Aug 2027
- Phase
- Phase 2
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 55 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Fluent English speaker and reader.
- Capable of providing one's own informed consent.
- As determined by validated, abbreviated phone-based remote Montreal Cognitive Assessment (MoCA) testing score of ≥18, which is the score that separates Mild Cognitive Impairment (MCI) from Alzheimer's Disease and Related Dementia (ADRD).
- Age 55+ years old (inclusive) at enrollment. a. As self-reported on screening survey and later verified in video appointment (e.g. Zoom Health)
- If residing in a community residence (such as a retirement community) in which a Medical Director designates living status categories, then the participant must be Independent Living status (or equivalent).
- As self-reported on screening survey
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- Insomnia Severity Index score ≥15 (i.e., at least "clinical insomnia," that is "moderate-to-severe") - but if recruitment is slow then the investigators will recruit with ISI score ≥11 "mild-to-severe").
- As self-reported on the ISI screening survey
- Willing to refrain from initiating new therapeutic interventions (e.g. medication; behavioral) that are not a part of this study protocol for issues pertaining to sleep for the duration of study participation.
- By self-report
- Willing to maintain any existing physician-directed pharmacologic intervention for issues pertaining to sleep for the duration of study participation.
- By self-report
- Has a residence with WIFI.
- By self-report
- Normal hearing with or without a hearing aid.
- By self-report
- Difficulty falling asleep, staying asleep, or waking too early, occurring at least 3 nights/week for 3+months, causing significant daytime distress/impairment (e.g., fatigue, poor focus, mood issues), despite adequate sleep opportunity, and not better explained by another sleep disorder or substance.
- By Sleep Condition Indicator [SCI]
Who cannot join
- Illicit drug use in the past month (except for marijuana because it is legal in many States, and the investigators are recruiting nationwide).
- As self-reported on screening survey. Marijuana usage will be tracked via self-report and examined as a moderator.
- Diagnosed serious mental health disorder.
- Specifically, psychosis or bipolar depression, severe major depression, moderate to high risk of suicide, dementia
- As self-reported on screening survey
- Currently or recent engaged (past 1-year) in evidence-based psychotherapy for Insomnia (e.g., CBTi), in addition to ever receiving a full course of CBTi:
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- By self-report
- Cohabitating with a current or previous participant in this study.
- This criterion is to avoid cross-contamination of study condition awareness, if two cohabitating individuals are randomized into different study arms.
- Initiation of any psychological treatment in the last 3-months.
- A highly irregular schedule (e.g. shift work) that would prevent adoption of intervention strategies, as evaluated through the Shift Work Disorder Index.
- Previous exposure to the SleepSpace software.
- Medical conditions that are exacerbated by sleep restriction.
- Planned major surgery during the trial.
Trial locations and contacts
2 sites in 1 country. Contact the study team or a site near you to ask about taking part.
United States2 sites, 2 recruiting
- Recruiting
SleepSpace
New York, New York, 10012
Daniel Gartenberg, PhD, 7326681250, dan@sleepspace.com
- Recruiting
SleepSpace
New York, New York, 10012
Daniel Gartenberg, PhD, 732-668-1250, dan@sleepspace.com
Octavian Geagla, MA, 5712430233, octavian@sleepspace.com
About this study
Official title: An Internet of Things Automated Cognitive Behavioral Therapy for Insomnia That Improves Cognition in Older Adults
This double blind randomized clinical trial on older independent-living healthy individuals with symptoms of insomnia will harness Cognitive Behavioral Therapy for Insomnia (CBT-I) and augment it with ambulatory data collection devices, personalized digital content, and smart sound and light cues (CBT-I +Internet of Things [IoT]+Artificial Intelligence [AI]). With this approach, the investigators aim to overcome many of the limitations that CBT-I in the clinic faces: the investigators can implement it in ambulatory settings while providing increased (remote) accessibility to therapy. The investigators will compare the CBT-I +IoT+AI to active controls that also integrate with smart phone devices, including SleepEZ, which is also based on CBT-I, and sleep hygiene education. These active controls will help determine whether CBT-I +IoT+AI is effective at treating insomnia based on the Insomnia Severity Index (ISI) (primary outcome), sleep metrics (secondary outcome), cognitive performance (secondary outcome), and additional outcomes like therapeutic adherence and other mental health assessments. Participants will be asked to track sleep with wearable and nearable devices, complete surveys, and complete cognitive assessments.
Read the detailed description
Insomnia is highly prevalent in older adults and is associated with impaired daytime functioning and increased risk for cognitive decline. Cognitive Behavioral Therapy for Insomnia (CBT-I) is the recommended first-line treatment, yet access, adherence, and scalability remain persistent barriers, particularly for older populations. Digital CBT-I programs address some access challenges but often demonstrate reduced adherence and diminished effectiveness in real-world use.
This study evaluates a fully remote, automated digital CBT-I system that integrates mobile software with Internet of Things (IoT)-enabled environmental cues and artificial intelligence-driven personalization. The intervention is designed to promote adherence to CBT-I principles by passively supporting sleep-wake routines using adaptive sound, light, and behavioral prompts delivered through consumer electronic devices in the participant's home environment.
The study is a randomized, double-blind, controlled trial conducted entirely remotely in community-dwelling older adults with clinically significant insomnia symptoms. Following screening and baseline assessment, participants are randomly assigned in a 1:2:2 allocation to one of three study arms: 1) SleepSpaceRx CBT-I-IoT-AI (n=72), 2) Sleep-EZ CBT-I-based active comparator (n=72), or 3) Sleep Hygiene + IoT active comparator (n=36). All participants receive comparable study devices and interaction time to maintain blinding and control for expectancy effects.
The intervention period lasts six weeks and is preceded by a baseline assessment phase and followed by post-intervention and follow-up assessments. Throughout the study, participants complete standardized self-report measures of insomnia severity and engage in repeated, brief cognitive assessments administered via mobile devices. Objective sleep data are collected using non-invasive, ambulatory sensing technologies that operate passively in the home environment.
The primary objective of the study is to compare changes in insomnia severity across study arms. Secondary objectives include evaluation of sleep characteristics, adherence to behavioral recommendations, and performance on cognitive tasks sensitive to sleep-related changes in older adults. The study is designed to assess feasibility, usability, and preliminary efficacy of an automated, home-based digital CBT-I approach that emphasizes adherence support and sleep quality enhancement.
This trial will contribute evidence on whether an integrated digital and IoT-based behavioral intervention can improve insomnia outcomes and support cognitive functioning in older adults, informing future large-scale trials and potential clinical implementation.
- Conditions
- Insomnia, Insomnia Chronic
- Being tested
- SleepSpaceRx CBT-I-IoT-AI, SleepEZ CBTi, Sleep Hygiene IoT
- Keywords
- cognitive behavioral therapy, internet of things, wearables, insomnia, older adults, cognitive impairment, cognition
- Medical subject headings
- Sleep Initiation and Maintenance Disorders, Cognitive Dysfunction
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
SleepSpaceRx CBT-I-IoT-AIBehavioural
What distinguishes this condition is increased customization of the CBT-I content and increased usage of the Internet of Things (IoT) devices used to promote CBT-I directives.
SleepEZ CBTiBehavioural
This condition includes interactive videos about CBT-I and leverages some IoT interventions.
Sleep Hygiene IoTBehavioural
This intervention includes interactive videos regarding sleep hygiene, a component of CBT-I and leverages some IoT interventions.
| Study group | Role | What they receive |
|---|---|---|
| SleepSpaceRx CBT-I-IoT-AI | Experimental | Participants randomized to this study arm will experience an attempted enhancement of standard video based digital CBT-I, that is facilitated with electronic device-based interventions (Internet of Things) and artificial intelligence (AI) customizations of content. Noninvasive ambulatory worn + bedside devices deliver real-time feedback of objective data to the participant on an application interface and this data is used to customize the software and promote healthy sleep routines. In addition, daily animated videos are customized to the users' challenges. Subjective data collected using the application are available live to the participant, when appropriate. Environmental cues and notifications are programmed into IoT devices to remind patients of their behavioral prescription and to create a living-space environment that is conducive to effective therapy. This will include smart lights and sounds that cue the participant. Receives: Behavioral: SleepSpaceRx CBT-I-IoT-AI |
| Sleep-EZ CBT-I Based Solution | Active comparator | Participants randomized to this study arm will experience standard digital-based CBT-I that is delivered via the Path to Better Sleep program called SleepEZ that was created by Veteran Affairs (VA). The program will be administered within the SleepSpace software, which will be used to track adherence and deliver sham interventions. Users will have access to a pared-down version of the SleepSpace electronic application that enables them to track sleep in a sleep diary, access the content found in SleepEZ, and integrate with smart light bulbs and sounds to receive certain sound and light interventions. For example, the lights will brighten during the users expected circadian dip. Receives: Behavioral: SleepEZ CBTi |
| Sleep Hygiene + IoT | Active comparator | Participants randomized to this study arm will experience sleep hygiene education and training, a component of CBT-I, which will also occur within the SleepSpace software to ensure all participants receive the same software platform and adherence is tracked uniformly across solutions. Users will have access to a version of our electronic application that enables them to track sleep in a sleep diary, access the animated Sleep Hygiene content created in the same way as the videos in the CBTi-IoT-AI condition, and integrate with smart light bulbs and sounds to receive certain sound and light interventions. Receives: Behavioral: Sleep Hygiene IoT |
What is being measured
The primary outcome is the main question the study is designed to answer.
Insomnia Severity Index (ISI)
Subjective patient completion of the Insomnia Severity Index survey. Sum of survey item responses; Minimum score: 0; Maximum score: 28. Higher sum score indicates a greater number of, or more severe, insomnia symptoms; reduction in sum score suggests improvement of insomnia.
Measured: Weekly for the first 8 weeks, then at week 10 and week 12
Secondary outcomes (2)
Change in cognitive test battery performance
Objective test performance metrics on an ambulatory cognitive test battery delivered with a smartphone device that includes validated assessments: the Mobile Monitoring of Cognitive Change (M2C2) and DANA Brain Vitals.
Measured: M2C2 is Daily during Baseline Weeks 1-2 and post-intervention Weeks 9-10. and Dana is Daily during Baseline Week 2 and post-intervention Week 10.
Consensus Sleep Diary
Subjective sleep diary data will be used to determine perceived sleep features (duration, quality, time in bed, etc).
Measured: Time Frame: Daily during Baseline Weeks 1-2, Intervention Weeks 3-8, and post-intervention Weeks 9-10.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Jan 2026
- Study start30 Sep 2026 (estimated)
- Primary completion30 Aug 2027 (estimated)
- Study completion30 Aug 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for InsomniaStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase 2
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Quadruple blind
- Who is masked
- Participant, Care provider, Investigator, Outcomes assessor
- Enrolment
- 180 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Proactive Life Inc
- Sponsor type
- Industry (pharma, biotech, devices)
- Collaborators
- National Institute on Aging (NIA)
- Responsible party
- Principal investigator, Daniel Gartenberg, Proactive Life Inc
- Investigators
- Daniel Taylor, PhD, Study director, University of Arizona
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07316153
- Sponsor's protocol ID
- 1R43AG097205-01
- Other IDs
- 1R43AG097205-01
- Status last verified
- Oct 2026
- First submitted
- 30 Dec 2025
- Last updated
- 20 Oct 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 20 Oct 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- An Internet of Things Automated Cognitive Behavioral Therapy for Insomnia That Improves Cognition in Older Adults
- ClinicalTrials.gov ID
- NCT07316153
- Acronym / sponsor ID
- 1R43AG097205-01
- Conditions
- Insomnia, Insomnia Chronic
- Keywords
- cognitive behavioral therapy, internet of things, wearables, insomnia, older adults, cognitive impairment, cognition
- Phase
- Phase 2
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 180 participants (estimated)
- Lead sponsor
- Proactive Life IncIndustry (pharma, biotech, devices)
- Collaborators
- National Institute on Aging (NIA)
- Study start
- 30 Sep 2026 (estimated)
- Primary completion
- 30 Aug 2027 (estimated)
- Study completion
- 30 Aug 2027 (estimated)
- First posted
- 5 Jan 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This double blind randomized clinical trial on older independent-living healthy individuals with symptoms of insomnia will harness Cognitive Behavioral Therapy for Insomnia (CBT-I) and augment it with ambulatory data collection devices, personalized digital content, and smart sound and light cues (CBT-I +Internet of Things [IoT]+Artificial Intelligence [AI]). With this approach, the investigators aim to overcome many of the limitations that CBT-I in the clinic faces: the investigators can implement it in ambulatory settings while providing increased (remote) accessibility to therapy. The investigators will compare the CBT-I +IoT+AI to active controls that also integrate with smart phone devices, including SleepEZ, which is also based on CBT-I, and sleep hygiene education. These active controls will help determine whether CBT-I +IoT+AI is effective at treating insomnia based on the Insomnia Severity Index (ISI) (primary outcome), sleep metrics (secondary outcome), cognitive performance (secondary outcome), and additional outcomes like therapeutic adherence and other mental health assessments. Participants will be asked to track sleep with wearable and nearable devices, complete surveys, and complete cognitive assessments.
Detailed description
Insomnia is highly prevalent in older adults and is associated with impaired daytime functioning and increased risk for cognitive decline. Cognitive Behavioral Therapy for Insomnia (CBT-I) is the recommended first-line treatment, yet access, adherence, and scalability remain persistent barriers, particularly for older populations. Digital CBT-I programs address some access challenges but often demonstrate reduced adherence and diminished effectiveness in real-world use.
This study evaluates a fully remote, automated digital CBT-I system that integrates mobile software with Internet of Things (IoT)-enabled environmental cues and artificial intelligence-driven personalization. The intervention is designed to promote adherence to CBT-I principles by passively supporting sleep-wake routines using adaptive sound, light, and behavioral prompts delivered through consumer electronic devices in the participant's home environment.
The study is a randomized, double-blind, controlled trial conducted entirely remotely in community-dwelling older adults with clinically significant insomnia symptoms. Following screening and baseline assessment, participants are randomly assigned in a 1:2:2 allocation to one of three study arms: 1) SleepSpaceRx CBT-I-IoT-AI (n=72), 2) Sleep-EZ CBT-I-based active comparator (n=72), or 3) Sleep Hygiene + IoT active comparator (n=36). All participants receive comparable study devices and interaction time to maintain blinding and control for expectancy effects.
The intervention period lasts six weeks and is preceded by a baseline assessment phase and followed by post-intervention and follow-up assessments. Throughout the study, participants complete standardized self-report measures of insomnia severity and engage in repeated, brief cognitive assessments administered via mobile devices. Objective sleep data are collected using non-invasive, ambulatory sensing technologies that operate passively in the home environment.
The primary objective of the study is to compare changes in insomnia severity across study arms. Secondary objectives include evaluation of sleep characteristics, adherence to behavioral recommendations, and performance on cognitive tasks sensitive to sleep-related changes in older adults. The study is designed to assess feasibility, usability, and preliminary efficacy of an automated, home-based digital CBT-I approach that emphasizes adherence support and sleep quality enhancement.
This trial will contribute evidence on whether an integrated digital and IoT-based behavioral intervention can improve insomnia outcomes and support cognitive functioning in older adults, informing future large-scale trials and potential clinical implementation.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Quadruple blind (participant, care provider, investigator, outcomes assessor)
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| SleepSpaceRx CBT-I-IoT-AI | Experimental | Behavioral: SleepSpaceRx CBT-I-IoT-AIParticipants randomized to this study arm will experience an attempted enhancement of standard video based digital CBT-I, that is facilitated with electronic device-based interventions (Internet of Things) and artificial intelligence (AI) customizations of content. Noninvasive ambulatory worn + bedside devices deliver real-time feedback of objective data to the participant on an application interface and this data is used to customize the software and promote healthy sleep routines. In addition, daily animated videos are customized to the users' challenges. Subjective data collected using the application are available live to the participant, when appropriate. Environmental cues and notifications are programmed into IoT devices to remind patients of their behavioral prescription and to create a living-space environment that is conducive to effective therapy. This will include smart lights and sounds that cue the participant. |
| Sleep-EZ CBT-I Based Solution | Active comparator | Behavioral: SleepEZ CBTiParticipants randomized to this study arm will experience standard digital-based CBT-I that is delivered via the Path to Better Sleep program called SleepEZ that was created by Veteran Affairs (VA). The program will be administered within the SleepSpace software, which will be used to track adherence and deliver sham interventions. Users will have access to a pared-down version of the SleepSpace electronic application that enables them to track sleep in a sleep diary, access the content found in SleepEZ, and integrate with smart light bulbs and sounds to receive certain sound and light interventions. For example, the lights will brighten during the users expected circadian dip. |
| Sleep Hygiene + IoT | Active comparator | Behavioral: Sleep Hygiene IoTParticipants randomized to this study arm will experience sleep hygiene education and training, a component of CBT-I, which will also occur within the SleepSpace software to ensure all participants receive the same software platform and adherence is tracked uniformly across solutions. Users will have access to a version of our electronic application that enables them to track sleep in a sleep diary, access the animated Sleep Hygiene content created in the same way as the videos in the CBTi-IoT-AI condition, and integrate with smart light bulbs and sounds to receive certain sound and light interventions. |
Who may qualify
- Ages
- 55 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (18 listed)
- Fluent English speaker and reader.
- Capable of providing one's own informed consent.
- Age 55+ years old (inclusive) at enrollment. a. As self-reported on screening survey and later verified in video appointment (e.g. Zoom Health)
- If residing in a community residence (such as a retirement community) in which a Medical Director designates living status categories, then the participant must be Independent Living status (or equivalent).
- Insomnia Severity Index score ≥15 (i.e., at least "clinical insomnia," that is "moderate-to-severe") - but if recruitment is slow then the investigators will recruit with ISI score ≥11 "mild-to-severe").
Key exclusion criteria (14 listed)
- Illicit drug use in the past month (except for marijuana because it is legal in many States, and the investigators are recruiting nationwide).
- Diagnosed serious mental health disorder.
- Currently or recent engaged (past 1-year) in evidence-based psychotherapy for Insomnia (e.g., CBTi), in addition to ever receiving a full course of CBTi:
- Cohabitating with a current or previous participant in this study.
- Initiation of any psychological treatment in the last 3-months.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| SleepSpaceRx CBT-I-IoT-AIWhat distinguishes this condition is increased customization of the CBT-I content and increased usage of the Internet of Things (IoT) devices used to promote CBT-I directives. | Behavioural | SleepSpaceRx CBT-I-IoT-AI |
| SleepEZ CBTiThis condition includes interactive videos about CBT-I and leverages some IoT interventions. | Behavioural | Sleep-EZ CBT-I Based Solution |
| Sleep Hygiene IoTThis intervention includes interactive videos regarding sleep hygiene, a component of CBT-I and leverages some IoT interventions. | Behavioural | Sleep Hygiene + IoT |
Primary outcome
Insomnia Severity Index (ISI)
Time frame: Weekly for the first 8 weeks, then at week 10 and week 12
Subjective patient completion of the Insomnia Severity Index survey. Sum of survey item responses; Minimum score: 0; Maximum score: 28. Higher sum score indicates a greater number of, or more severe, insomnia symptoms; reduction in sum score suggests improvement of insomnia.
2 secondary outcomes
Change in cognitive test battery performance
Time frame: M2C2 is Daily during Baseline Weeks 1-2 and post-intervention Weeks 9-10. and Dana is Daily during Baseline Week 2 and post-intervention Week 10.
Consensus Sleep Diary
Time frame: Time Frame: Daily during Baseline Weeks 1-2, Intervention Weeks 3-8, and post-intervention Weeks 9-10.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 20 Oct 2026.
- Company WebsiteLink provided by the sponsor.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Daniel Taylor, PhD study director
University of Arizona
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A Phase 2 study testing SleepSpaceRx CBT-I-IoT-AI, SleepEZ CBTi and Sleep Hygiene IoT in people with Insomnia and Insomnia Chronic, run by Proactive Life Inc at 2 sites in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 18 inclusion and 14 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 20 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
What does this phase mean?
Phase 2 studies give the treatment to a larger group to see whether it has the intended effect and to keep checking safety.
Not every study follows the same path, and some studies (observational studies, device studies) have no phase.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Daniel Gartenberg, PhD (732-668-1250, dan@sleepspace.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Insomnia Severity Index (ISI) (time frame: Weekly for the first 8 weeks, then at week 10 and week 12). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 20 Oct 2026.