Enhanced Systems and Methods for Delivering Microdoses of Medication

Publication ID: 24-11857757_0006_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Systems and Methods for Delivering Microdoses of Medication,” Published Technical Disclosure No. 24-11857757_0006_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857757_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. 11,857,757.

Summary of the Inventive Concept

Improved wearable insulin pumps and methods for delivering microdoses of medication, incorporating advanced sensors, machine learning algorithms, and personalized dosing to enhance glucose control and prevent hypoglycemic events.

Background and Problem Solved

The original patent, 'Systems and methods for delivering microdoses of medication,' provided a foundational wearable insulin pump system for delivering small doses of insulin. However, limitations existed in terms of glucose control, physical activity detection, and personalized dosing. The new inventive concept addresses these limitations by integrating advanced sensors, machine learning algorithms, and personalized dosing to improve glucose control and prevent hypoglycemic events.

Detailed Description of the Inventive Concept

The new inventive concept comprises four primary components: 1) an integrated sensor to monitor insulin levels and adjust dosing accordingly, 2) machine learning algorithms to analyze user data and adjust the basal rate of insulin delivery based on patterns and trends, 3) a built-in accelerometer to detect and respond to physical activity, and 4) personalized insulin dosing based on a user's genetic profile. These components work in concert to provide real-time glucose monitoring, adaptive insulin delivery, and personalized treatment plans. The wearable insulin pump system is further enhanced by a cloud-based platform for remote monitoring, tracking, and analysis of user data, providing real-time alerts and recommendations for improved glucose management.

Novelty and Inventive Step

The new inventive concept's integration of advanced sensors, machine learning algorithms, and personalized dosing represents a significant departure from the original patent. The use of machine learning to analyze user data and adjust insulin delivery, as well as the incorporation of genetic profiling for personalized dosing, are novel and non-obvious improvements that enhance glucose control and prevent hypoglycemic events.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of sensors, such as continuous glucose monitors or implantable sensors, or the integration of additional health metrics, such as heart rate or blood pressure. Variations could also include the use of different machine learning algorithms or the incorporation of additional data sources, such as electronic health records or social media data.

Potential Commercial Applications and Market

The enhanced systems and methods for delivering microdoses of medication have significant commercial potential in the diabetes management market, with potential applications in wearable insulin pumps, continuous glucose monitoring systems, and personalized medicine. The target market includes individuals with Type I and Type II diabetes, as well as healthcare providers and payers seeking to improve glucose control and reduce healthcare costs.

CPC Classifications

SectionClassGroup
A A61 A61M5/14248
A A61 A61B5/14865
A A61 A61M5/1413
A A61 A61M5/158
A A61 A61M5/168
A A61 A61M5/1684
A A61 A61M5/16827
A A61 A61M5/172
A A61 A61M5/1723
A A61 A61M5/5086
A A61 A61M2005/14252
A A61 A61M2005/14256
A A61 A61M2005/14533
A A61 A61M2005/1586
A A61 A61M2205/18
A A61 A61M2205/3317
A A61 A61M2205/3331
A A61 A61M2205/582
A A61 A61M2207/00

Field of Art

Medical Device Technology - Wearable Drug Delivery Systems, focusing on insulin pump design, sensor integration, and personalized medication delivery methods

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with expertise in medical device design, embedded sensor technologies, microfluidics, and digital health platforms, holding advanced degrees in bioengineering or medical technology with 3-5 years of industry experience

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed enhancements represent predictable technological extensions of the source patent's core insulin delivery system. The integration of machine learning, sensor technologies, and personalized dosing strategies are logical progressions in medical device design that leverage existing technological capabilities and address known limitations in diabetes management.

Obvious Combinations & Variations

Source Patent Element
Patch-style insulin pump with cartridge-based medication delivery system
PTD Variation
Adding integrated sensor for real-time insulin level monitoring and adaptive dosing
Obviousness Reasoning
Sensor integration is a known technique in medical device design, representing a predictable improvement to enhance device functionality and patient monitoring
Source Patent Element
Basic medication delivery mechanism with fixed dosing parameters
PTD Variation
Implementing machine learning algorithms to dynamically adjust insulin delivery based on user data patterns
Obviousness Reasoning
Adaptive algorithmic control is a standard approach in medical technology for personalizing treatment protocols, representing an obvious design optimization
Source Patent Element
Wearable patch pump design
PTD Variation
Incorporating accelerometer to detect physical activity and modulate insulin delivery
Obviousness Reasoning
Motion-responsive drug delivery is a known technique in medical device engineering, representing a finite and predictable solution for improving treatment precision
Source Patent Element
Basic medication infusion device with battery-powered operation
PTD Variation
Adding cloud-based remote monitoring platform for data tracking and analysis
Obviousness Reasoning
Cloud integration for medical device monitoring is a standard technological progression, representing an obvious extension of existing connectivity technologies
Source Patent Element
Medication delivery system with standardized dosing approach
PTD Variation
Implementing genetic profile-based personalized insulin dosing strategy
Obviousness Reasoning
Personalized medicine approaches using genetic data represent a predictable technological evolution in medical device design
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. § 103, the variations disclosed in the Published Technical Disclosure would have been obvious to a Person Having Ordinary Skill In The Art at the time of invention, as they represent predictable technological extensions of the foundational teachings in US Patent 11857757, combining known techniques in sensor integration, machine learning, and personalized medical device design to achieve foreseeable improvements in insulin delivery systems.

Original Patent Information

Patent NumberUS 11,857,757
TitleSystems and methods for delivering microdoses of medication
Assignee(s)Tandem Diabetes Care Switzerland Sàrl