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NCT06041971
Fully Closed Loop At Home (FCL@Home)
NA trial testing AIDANET system in Type 1 Diabetes in 36 participants. Participants enrolled and being followed up; not accepting new ones.
20 October 2024
Quick facts
| Lead sponsor | University of Colorado, Denver |
|---|---|
| Phase | NA |
| Status | Active, enrolled |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | crossover |
| Masking | none |
| Primary purpose | other |
| Enrollment | 36 |
| Start date | 1 November 2023 |
| Primary completion | 20 October 2024 |
| Estimated completion | 5 May 2025 |
| Sites | 3 locations across United States |
Drugs / interventions tested
- AIDANET system
Conditions studied
- Type 1 Diabetes — all drugs for Type 1 Diabetes →
Sponsor
University of Colorado, Denver
Who can join
Adults 14 to 60, any sex, with Type 1 Diabetes. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Protocol Overview/Synopsis This study will be conducted at 3 sites, with each site performing a session with up to 6 participants with a lower HbA1c (\<8.0%) in one of 3 age categories (26-60, 18-25, or 14-17 years) followed by a session of up to 6 additional participants with a higher HbA1c (8.0-12.0%) with the same age categories (26-60, 18-25, or 14-17 years). The trial will aim to complete a total of 36 participants: 12 total participants within each age category and 18 participants within each HbA1c category; 12 participants at each site. The study may enroll up to 70 participants to account for dropouts across the study. The study will be performed for 5 days and 4 nights at a local hotel/rental. Following the hotel session, participants will undergo a 7 day/6-night remote monitored at-home use session. The study will also conduct a two-week control period gathering data on glycemic control and insulin administration with the participants usual care therapy. Participants will be randomized 1:1, stratified by age cohort, to either group A (control period prior to AIDANET use) or group B (control period after AIDANET use).
Publications & conference data
3 peer-reviewed publications reference this trial (live from Europe PMC):
-
A Performance-Based Adaptation Index for Automated Insulin Delivery Systems.
Diaz C JL, Colmegna P, Pryor E, Breton MD. · · 2026 · cited 3× · PMID 39910927 · DOI 10.1177/19322968251315499 -
Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.
Jacobs PG, Levy CJ, Brown SA, Riddell MC, et al · · 2025 · cited 2× · PMID 40590464 · DOI 10.1177/19322968251338754 -
Miniaturized Neural Networks for Deploying Fully Closed Loop Insulin Delivery Systems: A Pilot Study Featuring Flexible Meal Announcement Options.
Pryor EC, Moscoso-Vasquez M, Fulkerson D, Holmes V, et al · · 2025 · cited 1× · PMID 40781999 · DOI 10.1177/19322968251364283
Verify or expand the search:
- PubMed search for NCT06041971
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
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Currently open trials in the same condition.
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Other University of Colorado, Denver trials
Trials by the same sponsor.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06041971 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by University of Colorado, Denver
- Last refreshed: 18 December 2024
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06041971.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing