Personalized Insulin Management System with AI-Driven Predictive Analytics

Publication ID: 24-11857314_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Personalized Insulin Management System with AI-Driven Predictive Analytics,” Published Technical Disclosure No. 24-11857314_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857314_0005_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. 11,857,314.

Summary of the Inventive Concept

A next-generation insulin management system that leverages machine learning, cloud-based platforms, wearable sensors, and blockchain technology to provide personalized, real-time insulin dosing and minimize the risk of hypoglycemia and hyperglycemia.

Background and Problem Solved

The original patent for insulin management addressed the need for accurate insulin dosing, but its manual calculations and limited data inputs led to suboptimal results. This new inventive concept tackles the limitations of the original patent by integrating advanced technologies to provide a more proactive, adaptive, and patient-centric approach to insulin management.

Detailed Description of the Inventive Concept

The system comprises a machine learning module that predicts blood glucose levels based on real-time sensor data, wearable devices for continuous glucose monitoring and insulin administration, a cloud-based platform integrating electronic health records and artificial intelligence, a telemedicine platform for remote insulin management, and a blockchain-based system for secure and transparent insulin management. These components work in tandem to optimize insulin administration, reduce healthcare costs, and improve patient outcomes.

Novelty and Inventive Step

The new claims introduce the use of machine learning, cloud-based platforms, wearable sensors, and blockchain technology to insulin management, which constitutes a significant departure from the manual calculations and limited data inputs of the original patent. The integration of these advanced technologies enables real-time, personalized insulin dosing and sets a new standard for insulin management.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different machine learning algorithms, various wearable sensor designs, or alternative blockchain architectures. Additionally, the system could be adapted for use in different healthcare settings, such as clinics or hospitals, or integrated with other medical devices, such as continuous glucose monitors or insulin pumps.

Potential Commercial Applications and Market

The personalized insulin management system has vast commercial potential in the healthcare industry, particularly in the diabetes management market. The system's ability to reduce healthcare costs, improve patient outcomes, and provide real-time, personalized insulin dosing makes it an attractive solution for healthcare providers, payers, and patients alike.

Field of Art

Medical Informatics and Diabetes Management Systems, involving computer-implemented methods for glucose monitoring, insulin dosing algorithms, and healthcare data processing

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or computer scientist with expertise in medical device design, data analytics, machine learning, and healthcare information systems, holding advanced degrees and understanding of diabetes management technologies

Obviousness Rationale

A PHOSITA would recognize that the PTD's machine learning and cloud-based enhancements represent predictable technological improvements to the source patent's insulin management method. The core functionality of glucose measurement and insulin dosing remains consistent, with the PTD merely applying well-known computational techniques to enhance precision and personalization. The integration of AI, wearable sensors, and blockchain represents incremental advancements that would be obvious to a skilled practitioner seeking to optimize insulin management systems.

Obvious Combinations & Variations

Source Patent Element
Sequential glucose measurements received from electronic medical record systems
PTD Variation
Cloud-based platform integrating electronic health records with AI-powered predictive analytics
Obviousness Reasoning
Extending data processing capabilities using machine learning is a known technique for improving medical data interpretation, representing a predictable application of existing computational methods
Source Patent Element
Computer-implemented method for determining insulin infusion rates
PTD Variation
AI-driven algorithm that adjusts insulin dosing based on real-time sensor data and user-specific factors
Obviousness Reasoning
Personalizing dosing algorithms through machine learning represents an obvious design optimization using standard computational techniques in medical informatics
Source Patent Element
Continuous glucose monitoring system for measuring patient glucose levels
PTD Variation
Wearable sensors with integrated blockchain technology for secure, transparent medical data tracking
Obviousness Reasoning
Incorporating blockchain into existing medical monitoring systems is a predictable technological evolution addressing data security concerns in healthcare
Source Patent Element
Computer-implemented method for insulin administration
PTD Variation
Telemedicine platform with virtual assistant for remote insulin management
Obviousness Reasoning
Extending medical device functionality through remote monitoring and virtual support represents an obvious technological progression in patient care technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857314 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and therefore unpatentable. The proposed system represents a straightforward combination of known medical informatics techniques applied to insulin management, lacking the requisite non-obviousness for patent protection.

Original Patent Information

Patent NumberUS 11,857,314
TitleInsulin management
Assignee(s)Aseko, Inc.