Advanced Analyte Concentration Alert System with Predictive Analytics

Publication ID: 24-11857350_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced Analyte Concentration Alert System with Predictive Analytics,” Published Technical Disclosure No. 24-11857350_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857350_0010_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. 11,857,350.

Summary of the Inventive Concept

An innovative system for predicting future analyte concentration alerts using machine learning models, wearable devices, and environmental data integration, enabling personalized insights and proactive healthcare management.

Background and Problem Solved

The original patent's analyte concentration alert function, although effective, relies on real-time acceleration data and lacks the ability to predict future alerts. This limitation can lead to delayed interventions and suboptimal healthcare outcomes. The new inventive concept addresses this issue by incorporating machine learning models, environmental data, and wearable devices to provide proactive and personalized analyte concentration alerts.

Detailed Description of the Inventive Concept

The advanced system consists of a machine learning model trained on historical analyte data and acceleration data, a wearable device configured to receive the historical data and generate predictions of future analyte concentration alerts, and a notification module for alerting the user. Additionally, the system integrates environmental data from sensors measuring temperature, humidity, and air quality, enabling correlations and personalized insights. The wearable device features an analyte sensor, accelerometer, machine learning module, and haptic feedback module for tactile alerts.

Novelty and Inventive Step

The new claims introduce the novel concept of predictive analytics in analyte concentration alert systems, leveraging machine learning models and environmental data to generate proactive alerts. This inventive step marks a significant departure from the original patent's reactive approach, providing a more comprehensive and forward-thinking solution.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different machine learning algorithms, incorporation of additional environmental sensors, or integration with electronic health records. Variations may also involve adapting the system for use with different types of analytes or expanding the notification module to include additional alert methods.

Potential Commercial Applications and Market

The advanced analyte concentration alert system has significant commercial potential in the healthcare industry, particularly in the management of chronic conditions such as diabetes. The system's predictive capabilities and personalized insights can improve healthcare outcomes, reduce costs, and enhance the overall quality of life for patients. Target markets may include healthcare providers, pharmaceutical companies, and medical device manufacturers.

CPC Classifications

SectionClassGroup
A A61 A61B5/746
A A61 A61B5/0002
A A61 A61B5/0004
A A61 A61B5/01
A A61 A61B5/1112
A A61 A61B5/1118
A A61 A61B5/145
A A61 A61B5/1459
A A61 A61B5/14532
A A61 A61B5/7282
A A61 A61B5/742
A A61 A61B5/7405
A A61 A61B5/7455
A A61 A61B5/0533
A A61 A61B5/14503
A A61 A61B5/6898
A A61 A61B5/7203
A A61 A61B2562/0219

Field of Art

Medical device technology, specifically wearable analyte monitoring systems with sensor integration and data processing, involving biomedical engineering, electronic sensing, and machine learning techniques for health monitoring

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with expertise in sensor systems, data analytics, machine learning, and physiological monitoring technologies, possessing advanced knowledge of wearable health monitoring devices and signal processing techniques

Obviousness Rationale

A person having ordinary skill would recognize that extending the source patent's analyte sensor and acceleration data system to incorporate predictive machine learning models represents a natural technological progression. The PTD's innovations leverage existing sensor architectures and data processing techniques to create a more advanced, proactive monitoring approach. The integration of environmental data and machine learning represents an incremental improvement using standard techniques available in the medical device and data analytics domains.

Obvious Combinations & Variations

Source Patent Element
Analyte sensor system with accelerometer for generating acceleration data
PTD Variation
Machine learning model trained on historical analyte and acceleration data to predict future concentration alerts
Obviousness Reasoning
Predictable application of machine learning techniques to existing sensor data collection, representing a known method of enhancing data interpretation using statistical modeling
Source Patent Element
Wearable transceiver with display device interface
PTD Variation
Wearable device with integrated haptic feedback module for personalized alerts
Obviousness Reasoning
Obvious design modification using known notification techniques to enhance user interaction, representing a straightforward user experience improvement
Source Patent Element
Analyte concentration monitoring system
PTD Variation
Environmental data integration to provide contextual insights about analyte concentration
Obviousness Reasoning
Predictable expansion of sensor data collection using known environmental monitoring techniques, representing a logical extension of comprehensive health tracking
Source Patent Element
Sensor system for generating analyte data
PTD Variation
Anomaly detection using machine learning algorithms to identify unusual concentration patterns
Obviousness Reasoning
Standard application of statistical analysis techniques to medical sensor data, representing a well-established approach in health monitoring technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857350 and the published technical disclosure, a person having ordinary skill in the art would find the claimed innovations of predictive analyte monitoring using machine learning, environmental data integration, and advanced notification techniques to be obvious variations of existing medical sensor technologies, thus rendering subsequent claims in this domain anticipated and non-patentable under standard obviousness criteria.

Original Patent Information

Patent NumberUS 11,857,350
TitleAnalyte concentration alert function for analyte sensor system
Assignee(s)Senseonics, Incorporated