Published Technical Disclosure Archive

Adaptable Analytical Framework for Diverse Industry Applications

Publication ID: 24-11857264_0002_PTD
Published: November 07, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Adaptable Analytical Framework for Diverse Industry Applications,” Published Technical Disclosure No. 24-11857264_0002_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857264_0002_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. 11,857,264.

Summary of the Inventive Concept

The inventive concept leverages the core technology of the original patent to develop a versatile analytical framework, capable of being applied to diverse industries and use cases, thereby unlocking new value streams and opportunities.

Background and Problem Solved

The original patent focused on providing surgical assistance to surgeons, particularly for assessing spinal deformity. However, the patent's core technology has broader applicability, and this inventive concept addresses the limitation of not exploring alternative industries and use cases. The problem solved is the inability to adapt the original technology to address unique challenges in other fields.

Detailed Description of the Inventive Concept

The inventive concept involves adapting the computer-implemented method and system of the original patent to analyze complex data sets and provide personalized recommendations in various industries. The new claims demonstrate the framework's applicability in optimizing agricultural crop yields, predicting and preventing supply chain disruptions, personalized education planning, optimizing energy efficiency in commercial buildings, and predicting and preventing cybersecurity threats. The framework's components include data ingestion, machine learning-based analysis, and visualization of results to facilitate informed decision-making.

Novelty and Inventive Step

The new claims introduce a novel and non-obvious application of the original patent's technology, extending its reach to diverse industries and use cases. The inventive step lies in recognizing the adaptability of the core technology and developing a framework that can be tailored to address unique challenges in various fields.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include adapting the framework for application in healthcare, finance, or environmental monitoring. Variations could involve integrating additional data sources, such as IoT devices or social media platforms, to enhance the framework's analytical capabilities.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential, as it can be applied to various industries, providing a competitive edge to companies that adopt this technology. The target market includes industries such as agriculture, logistics, education, energy management, and cybersecurity, among others.

CPC Classifications

SectionClassGroup
A A61 A61B34/10
A A61 A61B5/743
A A61 A61B5/748
A A61 A61B5/7435
A A61 A61B34/20
A A61 A61B34/25
A A61 A61B90/37
G G06 G06N20/00
G G06 G06T7/73
G G06 G06T19/006
G G16 G16H20/40
G G16 G16H40/63
G G16 G16H50/00
A A61 A61B2034/102
A A61 A61B2034/105
A A61 A61B2034/107
A A61 A61B2034/108
A A61 A61B2034/256
A A61 A61B2090/365
G G06 G06N5/01
G G06 G06T2207/10072
G G06 G06T2207/10116
G G06 G06T2207/20084
G G06 G06T2207/30012

Field of Art

Medical informatics, computer-implemented surgical planning systems, and data analysis technologies with a focus on personalized medical modeling and predictive analytics across multiple domains

Person of Ordinary Skill (PHOSITA) Profile

A professional with expertise in computer science, medical imaging, machine learning, and data analysis techniques, possessing advanced degrees and experience in translating computational methods across interdisciplinary applications

Obviousness Rationale

The PTD demonstrates a predictable extension of the source patent's core computational methodology by applying its fundamental data modeling and analysis framework to diverse problem domains. A PHOSITA would recognize the underlying computational approach as fundamentally transferable across different technical contexts. The systematic method of ingesting domain-specific data, applying machine learning algorithms, and generating personalized recommendations represents a straightforward technological translation that requires only routine engineering skill.

Obvious Combinations & Variations

Source Patent Element
Virtual anatomical model generation and modification for surgical planning
PTD Variation
Applying similar computational modeling techniques to agricultural crop yield optimization
Obviousness Reasoning
Known technique of translating machine learning data analysis across domains, with predictable results of generating personalized recommendations based on complex data sets
Source Patent Element
Computer-implemented method for patient-specific implant design
PTD Variation
Developing personalized energy efficiency recommendations for commercial buildings
Obviousness Reasoning
Predictable application of computational modeling framework to analyze complex systems and generate targeted optimization strategies
Source Patent Element
Virtual implantation simulation and anatomical image annotation
PTD Variation
Cybersecurity threat prediction using similar data analysis and visualization techniques
Obviousness Reasoning
Finite set of known computational approaches for pattern recognition and predictive modeling, representing a standard design choice for data-driven systems
Source Patent Element
Patient-specific criteria transmission and analysis
PTD Variation
Supply chain disruption prediction using real-time data integration
Obviousness Reasoning
Routine engineering skill in adapting data analysis frameworks to different contextual requirements with expected systematic outcomes
Source Patent Element
Machine learning-based anatomical model modification
PTD Variation
Personalized education planning through learning style and performance data analysis
Obviousness Reasoning
Known technique of applying computational modeling to generate individualized recommendations across structured data domains
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857264, the present publication demonstrates that the claimed computational framework represents an obvious variation readily apparent to a person having ordinary skill in medical informatics and data analysis technologies. The systematic translation of a patient-specific modeling approach to diverse domain applications would be considered a predictable extension of existing technological capabilities, rendering potential derivative claims obvious and unpatentable.

Original Patent Information

Patent NumberUS 11,857,264
TitleSystems and methods for physician designed surgical procedures
Assignee(s)Carlsmed, Inc.