Synergistic Insulin Delivery System with AI and Blockchain

Publication ID: 24-11857763_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Insulin Delivery System with AI and Blockchain,” Published Technical Disclosure No. 24-11857763_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857763_0003_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,763.

Summary of the Inventive Concept

A hybrid closed-loop insulin delivery system integrating AI-driven glucose prediction, blockchain-based data storage, and wearable insulin delivery devices to optimize basal insulin delivery rates and provide personalized health recommendations.

Background and Problem Solved

Diabetes management often relies on manual insulin dosing, which can lead to hyperglycemia or hypoglycemia. The original patent addressed this issue by adjusting insulin delivery rates based on glucose data. However, it lacked the power of AI-driven glucose prediction, blockchain-based data security, and wearable insulin delivery devices. The new inventive concept solves this problem by synergistically combining these technologies to create a more effective and personalized insulin delivery system.

Detailed Description of the Inventive Concept

The system consists of a hybrid closed-loop insulin delivery module, an artificial intelligence-driven glucose prediction engine, and a blockchain-based data storage unit. The hybrid closed-loop insulin delivery module adjusts basal insulin delivery rates based on glucose data from a continuous glucose monitor and a blood glucose meter. The artificial intelligence-driven glucose prediction engine predicts future blood glucose levels for multiple different basal insulin delivery profiles and selects one of the basal insulin delivery profiles based on prediction of which profile will approximate a target blood glucose level. The blockchain-based data storage unit stores and analyzes glucose data and insulin delivery profiles to provide personalized health recommendations. The system can be integrated with wearable insulin delivery devices and blockchain-based health data platforms to enhance its functionality.

Novelty and Inventive Step

The new claims introduce the synergistic combination of AI-driven glucose prediction, blockchain-based data storage, and wearable insulin delivery devices, which provides a more effective and personalized insulin delivery system compared to the original patent. The inventive step lies in the integration of these distinct technologies to create a hybrid closed-loop insulin delivery system that can adapt to individual patient needs.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the system with other health data platforms, using different AI algorithms for glucose prediction, or incorporating additional sensors for more accurate glucose monitoring. Variations may include using different blockchain architectures or implementing the system in various wearable devices or mobile applications.

Potential Commercial Applications and Market

The synergistic insulin delivery system has significant commercial potential in the diabetes management market, particularly in the growing market for wearable insulin delivery devices and AI-powered health analytics. The system's ability to provide personalized health recommendations and optimize insulin delivery rates can improve patient outcomes and reduce healthcare costs.

CPC Classifications

SectionClassGroup
A A61 A61M5/1723
A A61 A61B5/14532
A A61 A61B5/4839
A A61 A61M5/142
A A61 A61M5/145
A A61 A61M5/14244
A A61 A61M5/14248
G G16 G16H20/17
G G16 G16H40/60
G G16 G16H40/67
A A61 A61B2562/0295
A A61 A61M2005/14208
A A61 A61M2205/3303
A A61 A61M2205/3553
A A61 A61M2205/3561
A A61 A61M2205/3569
A A61 A61M2205/3584
A A61 A61M2205/502
A A61 A61M2205/52
A A61 A61M2230/005
A A61 A61M2230/201
G G16 G16H10/60
G G16 G16H40/40
G G16 G16H50/30

Field of Art

Medical Device Technology - Diabetes Management Systems, focusing on insulin delivery, glucose monitoring, and personalized medical treatment algorithms

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device specialist with expertise in diabetes management technologies, proficient in AI/machine learning, data analytics, wearable medical devices, and closed-loop insulin delivery systems

Obviousness Rationale

A PHOSITA would recognize that integrating AI-driven glucose prediction, blockchain data storage, and hybrid closed-loop insulin delivery represents a predictable combination of known techniques in diabetes management technology. The source patent's foundational insulin delivery method provides a clear framework for extending functionality through emerging technologies like AI and blockchain. These technological integrations represent incremental improvements that would be obvious to a skilled practitioner seeking to enhance personalized diabetes management systems.

Obvious Combinations & Variations

Source Patent Element
Method for calculating insulin delivery profiles based on glucose probability and user input
PTD Variation
AI-driven glucose prediction engine that selects optimal insulin delivery profiles using machine learning algorithms
Obviousness Reasoning
Extending probabilistic glucose modeling with machine learning represents a known technique for improving predictive accuracy, using a finite set of well-understood algorithmic approaches
Source Patent Element
Obtaining user-specific glucose data and calculating delivery intervals
PTD Variation
Blockchain-based data storage for tracking and analyzing personalized insulin delivery profiles
Obviousness Reasoning
Implementing secure, distributed data storage for medical records is a predictable technological progression in healthcare informatics, offering enhanced data management capabilities
Source Patent Element
Insulin delivery method with variable time intervals and multiple delivery profiles
PTD Variation
Hybrid closed-loop insulin delivery module integrated with wearable devices and continuous glucose monitoring
Obviousness Reasoning
Adapting insulin delivery systems to wearable technologies represents an obvious design evolution driven by miniaturization and patient-centric medical device trends
Source Patent Element
Calculating probabilities of achieving glucose levels across multiple insulin delivery profiles
PTD Variation
Machine learning algorithm predicting future blood glucose levels across multiple delivery profiles
Obviousness Reasoning
Enhancing probabilistic modeling with advanced predictive analytics is a straightforward application of contemporary data science techniques to existing medical algorithms
Source Patent Element
Method for adjusting insulin delivery based on glucose data
PTD Variation
Synergistic system combining AI prediction, blockchain storage, and adaptive insulin delivery
Obviousness Reasoning
Integrating complementary technologies to improve medical device functionality represents a standard approach to incremental innovation in medical technology
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857763 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and lacking inventive step. The combination of AI-driven glucose prediction, blockchain data storage, and adaptive insulin delivery represents a predictable application of known techniques in diabetes management technology, rendering subsequent claims obvious as a matter of law.

Original Patent Information

Patent NumberUS 11,857,763
TitleAdjusting insulin delivery rates
Assignee(s)INSULET CORPORATION