twiist AID System 2.3.118

twiist AID System 2.3.118

Sequel Med Tech, LLC.  ❘ Freeware
iOS
out of 4 votes
Latest Version
2.3.118
Safe to install
VERY GOOD User Rating

The management of type 1 diabetes often involves complex daily balancing, which can be a source of stress for many individuals. However, recent advancements aim to ease this burden through innovative technology.

Introducing the twiist system, a sophisticated automated insulin delivery (AID) platform designed to proactively adjust basal insulin levels and personalize treatment. The system seeks to minimize glycemic fluctuations—both hyperglycemia and hypoglycemia—around the clock, providing users with greater peace of mind.

It is advisable to consult with a healthcare professional to determine whether the twiist system is appropriate for your specific needs or to discuss how best to incorporate it into your diabetes management plan.

The twiist™ AID System represents a first in its category as the initial automated insulin delivery system powered by Tidepool. The core technology, twiist Loop, is based on Tidepool Loop—a platform developed collaboratively by individuals with diabetes for immediate application by the diabetes community. This development exemplifies progress toward personalized, user-centric diabetes care.

The system features iiSure™ Technology, which uses sound wave-based micro-dosage verification and advanced blockage detection to ensure accurate insulin delivery. By analyzing the volume of each micro-dose at four critical points, iiSure contributes to reliability and precision in treatment.

The accompanying twiist App consolidates key data into an accessible dashboard, presenting information such as insulin pump status, continuous glucose monitor (CGM) readings, a six-hour glucose prediction, and active insulin and carbohydrate data. This integration affords users a comprehensive overview of their condition, accessible anytime and anywhere.

Designed with user experience in mind, the twiist App features an intuitive interface supported by built-in tutorials to facilitate seamless onboarding and ongoing navigation.

The system's personalized management capabilities include continuous adaptation through twiist Loop’s predictive algorithms—forecasting blood glucose levels six hours ahead and adjusting basal insulin every five minutes to help mitigate glycemic excursions. The platform offers a wide glucose target range (87-180 mg/dL), enhancing flexibility in daily routines. Meal and workout presets enable fine-tuning of insulin dosing, and an absorption rate selector allows users to customize insulin timing based on dietary choices. Users can update carbohydrate entries dynamically, with the system promptly recalibrating to maintain target ranges.

Integration with wearable technology extends functionality. Most Apple Watch models allow users to discreetly monitor glucose levels and administer insulin from their wrist—eliminating the need for frequent phone access. This feature supports convenient, real-time management while maintaining dietary and activity routines.

Furthermore, the twiist AID System connects seamlessly with Apple Health, allowing users to review diabetes-related data alongside broader health metrics for a holistic view of their well-being.

Family members and friends can receive shared access to real-time data through the twiist insight App, fostering additional support and peace of mind.

Please note that the twiist AID System is available by prescription only in the United States and is compatible with iOS 17.0 or higher.

Visit twiist.com/safety for comprehensive safety information.

Overview

twiist AID System is a Freeware software in the category Home & Hobby developed by Sequel Med Tech, LLC..

The latest version of twiist AID System is 2.3.118, released on 06/07/2025. It was initially added to our database on 06/07/2025.

twiist AID System runs on the following operating systems: iOS.

Users of twiist AID System gave it a rating of 4 out of 5 stars.

Pros

  • Advanced AI-driven automation that can streamline medical imaging processes.
  • Potential to improve diagnostic accuracy through AI analysis.
  • User-friendly interface that can be easy for medical staff to adopt.
  • Integration capabilities with existing medical imaging equipment and electronic health records.

Cons

  • Relatively new technology that might lack extensive real-world validation.
  • High initial cost and implementation expenses.
  • Requires training for staff unfamiliar with AI systems.
  • Dependence on stable internet connection for cloud-based features, which could affect uptime.

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