Published Technical Disclosure Archive

Enhanced Meal Detection and Insulin Delivery System

Publication ID: 24-11857764_0006_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Meal Detection and Insulin Delivery System,” Published Technical Disclosure No. 24-11857764_0006_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857764_0006_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. 11,857,764.

Summary of the Inventive Concept

An improved system for automatic detection of un-bolused meals and optimized insulin delivery, enhancing the accuracy and efficiency of diabetes management.

Background and Problem Solved

The original patent, 'Automatic detection of un-bolused meals', addresses the need for accurate and timely insulin delivery in diabetes management. However, the existing system has limitations in detecting meal patterns and adjusting insulin delivery rates in real-time. The new inventive concept builds upon the original patent by introducing advanced analytics and machine learning capabilities to improve meal detection and insulin delivery optimization.

Detailed Description of the Inventive Concept

The enhanced system comprises a continuous glucose monitoring system, an ambulatory infusion pump, and a processing unit with advanced analytics and machine learning capabilities. The system analyzes CGM data to identify patterns indicative of un-bolused meals and automatically adjusts insulin delivery rates based on the identified patterns. The system also includes a control unit that receives CGM data and adjusts insulin delivery rates in real-time to prevent hyperglycemia or hypoglycemia. Additionally, the system incorporates a machine learning algorithm that adapts insulin delivery rates to individual user needs, ensuring personalized diabetes management.

Novelty and Inventive Step

The new claims introduce novel features such as advanced analytics, machine learning capabilities, and real-time insulin delivery rate adjustments, which are not present in the original patent. These features provide a significant improvement in meal detection and insulin delivery optimization, making the new inventive concept non-obvious and novel.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integrating the system with other health monitoring devices, such as fitness trackers or mobile applications, to gather additional data and provide more comprehensive diabetes management. Variations of the system could also include using different types of analytics or machine learning algorithms to improve meal detection and insulin delivery optimization.

Potential Commercial Applications and Market

The enhanced meal detection and insulin delivery system has significant commercial potential in the diabetes management market, particularly among patients who require frequent insulin injections. The system's ability to provide personalized and optimized insulin delivery could improve patient outcomes and reduce healthcare costs.

CPC Classifications

SectionClassGroup
A A61 A61M5/1723
A A61 A61M5/14244
A A61 A61M5/1413
A A61 A61M2005/14208
A A61 A61M2005/14268
A A61 A61M2205/52

Field of Art

Medical Device Technology, Specifically Diabetes Management Systems and Ambulatory Infusion Pumps with Continuous Glucose Monitoring Integration

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with expertise in diabetes management technologies, proficient in sensor integration, data analytics, and medical device control systems, holding at least a master's degree with 3-5 years of experience in medical device design

Obviousness Rationale

A person having ordinary skill in the art would recognize that the PTD's machine learning and real-time analytics extensions are predictable variations of the source patent's core meal detection and insulin delivery methodology. The fundamental technological framework of continuous glucose monitoring and automated insulin delivery remains consistent, with the PTD introducing incremental improvements that would be obvious to a skilled practitioner seeking to optimize diabetes management systems.

Obvious Combinations & Variations

Source Patent Element
Receiving CGM data and detecting un-bolused meals
PTD Variation
Adding machine learning algorithms to adapt insulin delivery rates to individual user needs
Obviousness Reasoning
Applying machine learning to medical device data analysis is a known technique, representing a predictable optimization of existing monitoring systems
Source Patent Element
Threshold-based meal detection and bolus reminders
PTD Variation
Real-time insulin delivery rate adjustments to prevent hyperglycemia or hypoglycemia
Obviousness Reasoning
Dynamic insulin adjustment is a logical extension of existing threshold monitoring, representing a finite and predictable solution to glucose management
Source Patent Element
Ambulatory infusion pump with CGM integration
PTD Variation
Integrating additional health monitoring devices like fitness trackers for comprehensive data collection
Obviousness Reasoning
Cross-device data integration is a standard design approach in medical technology, representing an obvious enhancement to existing monitoring systems
Source Patent Element
User input for expected meal timing
PTD Variation
Advanced analytics to identify meal-related glucose patterns automatically
Obviousness Reasoning
Automated pattern recognition is a predictable technological progression in sensor-based medical devices
Source Patent Element
Basic CGM data processing for meal detection
PTD Variation
Machine learning algorithms to analyze rapid glucose level changes
Obviousness Reasoning
Applying advanced statistical analysis to medical sensor data represents a known technique for improving diagnostic accuracy
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857764, a person having ordinary skill in the art would find the variations disclosed in this publication to be obvious extensions of the prior art, rendering obvious any patent claims directed to machine learning-enhanced continuous glucose monitoring and insulin delivery systems. The incremental technological improvements represent predictable variations that would be readily conceived by a skilled practitioner in medical device design.

Original Patent Information

Patent NumberUS 11,857,764
TitleAutomatic detection of un-bolused meals
Assignee(s)Tandem Diabetes Care, Inc.