Adaptive Technology Platform for Diverse Industries
Legal Citation
Summary of the Inventive Concept
This inventive concept leverages the core technology of the original insulin management patent to create a versatile platform that can be applied to various industries, including agriculture, renewable energy, fitness, supply chain logistics, and wildfire prevention.
Background and Problem Solved
The original patent addressed the critical issue of insulin management in healthcare. However, its core technology has broader implications that can be adapted to solve pressing problems in other industries. This inventive concept builds upon the original patent's strengths while addressing the limitations of its narrow focus on healthcare.
Detailed Description of the Inventive Concept
The inventive concept comprises a modular system that integrates sensors, machine learning algorithms, and decision support systems to optimize outcomes in diverse industries. For instance, in agriculture, the system can analyze soil moisture levels, temperature, and crop health to recommend optimal irrigation schedules and fertilizer application rates. In renewable energy, it can predict energy storage needs based on energy output data to minimize energy waste and maximize grid stability. Similarly, in fitness, it can analyze physiological data to recommend personalized exercise routines, and in supply chain logistics, it can optimize shipping routes and inventory management strategies to minimize costs and maximize delivery speed.
Novelty and Inventive Step
The novelty of this inventive concept lies in its ability to adapt the core technology of the original patent to address unmet needs in various industries. The inventive step is the recognition of the broader applicability of the technology and the development of a versatile platform that can be tailored to specific industry requirements.
Alternative Embodiments and Variations
Alternative embodiments of this inventive concept could include the integration of additional data sources, such as weather patterns, market trends, or social media analytics, to further enhance the decision support system. Variations could also involve the use of different machine learning algorithms or the development of specialized modules for specific industries.
Potential Commercial Applications and Market
This inventive concept has significant commercial potential across multiple industries, including agriculture, renewable energy, fitness, supply chain logistics, and wildfire prevention. The target market includes companies, organizations, and government agencies seeking to optimize outcomes, reduce costs, and improve decision-making in their respective fields.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical informatics and data processing systems for healthcare management, with expertise in sensor-based monitoring, machine learning algorithms, and decision support systems for physiological data analysis
Person of Ordinary Skill (PHOSITA) Profile
A skilled professional with advanced degrees in computer science, biomedical engineering, or healthcare informatics, possessing knowledge of data processing, sensor integration, machine learning techniques, and cross-domain technology adaptation
Obviousness Rationale
The PTD demonstrates a predictable extension of the source patent's core technology by applying its fundamental data processing and decision support methodology to multiple industry domains. A PHOSITA would recognize the underlying algorithmic approach of sensor data collection, machine learning analysis, and adaptive recommendation generation as fundamentally transferable across different technical contexts. The source patent's core innovations in sequential data processing and automated decision support provide a clear technological framework that can be readily adapted to diverse sensing and optimization challenges.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,314 |
|---|---|
| Title | Insulin management |
| Assignee(s) | Aseko, Inc. |