Genomics Decision Support System with AI Data Normalization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current genomics technologies are complex, time-consuming, and expensive, and existing systems fail to provide effective decision support for health condition detection and prevention, often providing irrelevant information and requiring data from multiple sources, which hampers efficient decision-making.
Innovation Solution
A system utilizing artificial intelligence and machine learning algorithms to process individual search criteria, compare them to reference databases, and provide dynamic, real-time genomics decision support and simulation, including predictive modeling and preventative action recommendations through an advanced electronic visualization interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current genomics technologies and systems are used to analyze genomic signatures and detect health conditions, then health condition detection and predictive modeling can be performed, but the process becomes complex, time-consuming, and expensive
Solution Approach 1:
The patent introduces an intermediary processing layer that standardizes and normalizes genomic data from multiple disparate sources before analysis. This intermediary layer acts as a mediator between raw genomic data and the predictive modeling algorithms, simplifying the overall system architecture while maintaining detection accuracy through systematic data processing and integration.
2Reliability
If current genomics technologies are used to examine and analyze genomic signatures, then health condition detection is possible, but the process becomes time-consuming
Solution Approach 1:
The patent implements preliminary action by pre-processing and normalizing genomic data in advance, creating standardized data structures and pre-computing reference profiles. This preliminary preparation enables faster querying and comparison during actual health condition detection, significantly reducing analysis time while preserving accuracy through pre-validated processing pipelines.
3Loss of information
If data from multiple disparate sources is accessed to provide comprehensive genomics analysis, then more complete information is obtained, but the system becomes difficult to implement and maintain
Solution Approach 1:
The patent implements a universal data interface and standardized processing framework that can handle multiple types of genomic data from various sources through a single unified system. This multi-functional approach allows the system to process different data formats and sources using common processing logic, reducing implementation complexity while maintaining information completeness from diverse genomic sources.
Data Source
AI summary
A dynamic, real-time, genomics decision support and simulation system is disclosed. The system receives individual search criteria associated with an individual, and generates and formats a digital file including the individual search criteria into a format suitable for communication, storage, synthesis, analysis, or a combination thereof, by components of the system. The system compares the individual search criteria from the formatted digital file to information from a reference database. Based on the comparing, the system may identify a potential relationship between the individual search criteria and a disease or condition identified in the information from the reference database. The system may present the potential match, along with an analysis relating to the relationship, on a visualization interface on a device associated with the individual.