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NCT06709729ACTIVE_NOT_RECRUITINGanonymous

Switch of Open-source Automated Insulin Delivery System - AndroidAPS to Commercially Available AID Systems in Type 1 Diabetes: the Extension of the CODIAC Study

Sponsor

Source record

Charles University, Czech Republic

Phase

Source record

Not Applicable

Modality

AI-normalized

medical device

Target

AI-normalized

Automated Insulin Delivery Systems (AID) for Type 1 Diabetes Management

Indication / condition

AI-normalized

Diabetes Mellitus, Type 1

Intervention

Source record

Insulin pump with closed-loop system

Source & freshness

Source record

NCT ID

NCT06709729

Original source

ClinicalTrials.gov

Source last updated

Nov 29, 2024

Ingested at

Jun 19, 2026

Internal sync

Jun 19, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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View original source fields

NCT ID

NCT06709729

Title

Switch of Open-source Automated Insulin Delivery System - AndroidAPS to Commercially Available AID Systems in Type 1 Diabetes: the Extension of the CODIAC Study

Sponsor

Charles University, Czech Republic

Status

ACTIVE_NOT_RECRUITING

Phase

Not Applicable

Condition raw

Diabetes Mellitus, Type 1

Condition normalized

Diabetes Mellitus, Type 1

Modality raw

medical device

Modality normalized

medical device

Target raw

Automated Insulin Delivery Systems (AID) for Type 1 Diabetes Management

Target normalized

Automated Insulin Delivery Systems (AID) for Type 1 Diabetes Management

Interventions

Insulin pump with closed-loop system

Public preview

Source record

The study, sponsored by Charles University, aims to evaluate the transition from an open-source automated insulin delivery system (AndroidAPS) to commercially available systems (Control-IQ and MiniMed 780G) in adults with Type 1 Diabetes. This research is significant as it addresses the growing market for advanced diabetes management technologies, particularly in the context of personalized medicine. The findings could influence market dynamics by providing comparative efficacy data that may affect clinician and patient preferences, potentially impacting sales of the involved commercial systems. The study's outcomes may also provide insights into the competitive landscape, highlighting the advantages of proprietary systems over open-source alternatives, which could have implications for future product development and marketing strategies.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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