Fluorescence Algorithm Comparison for Diagnostic Data Updates
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Solution Overview
Problem
Existing molecular diagnosis techniques lack efficient methods to compare and evaluate the performance of different fluorescence data analysis algorithms, especially in varying diagnostic environments, making it difficult to determine whether to update or improve these algorithms for certification and authorization.
Innovation Solution
A computer device and method for displaying a performance comparison result between legacy and update analysis algorithms, utilizing a memory to store fluorescence data and legacy analysis data, and a processor to generate update analysis data for display, with features like data normalization and metadata handling to facilitate algorithm evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple analysis algorithms are compared manually in varying diagnostic environments, then algorithm performance evaluation becomes possible, but the process becomes complex and time-consuming
Solution Approach 1:
The patent segments the algorithm comparison process into distinct functional modules: data acquisition module, data processing module, and comparison display module. Each module handles specific tasks independently, transforming a complex manual comparison process into structured, manageable segments that can be executed systematically.
Solution Approach 2:
The patent introduces a computer device as an intermediary between the multiple analysis algorithms and the user. This intermediary automatically executes the algorithms, processes the fluorescence data, generates comparison results, and presents them in a standardized format, eliminating the need for manual intervention while maintaining evaluation accuracy.
2Productivity
If algorithm updates are implemented without systematic comparison, then implementation speed increases, but reliability of diagnostic results may deteriorate
Solution Approach 1:
The patent performs preliminary automated comparison actions before algorithm updates are implemented. The system automatically executes both legacy and updated algorithms on stored fluorescence data, generates comparison results, and evaluates performance differences in advance, ensuring that updates are data-driven and reliable before deployment.
Solution Approach 2:
The patent establishes a feedback mechanism where comparison results between legacy and updated algorithms are systematically analyzed. The feedback loop allows the system to evaluate whether updates maintain or improve diagnostic reliability, providing evidence-based guidance for approval decisions while enabling rapid implementation of validated updates.
Data Source
AI summary
A computer device is proposed. The device may include a memory that stores at least one instruction, fluorescence data for an amplification reaction of a target analyte, and legacy analysis data for the target analyte, the legacy analysis data being a result of applying a legacy analysis algorithm to the fluorescence data. The device may also include a display unit, and a processor. The at least one instruction may be executed by the processor to obtain update analysis data for the target analyte, which is a result of applying an update analysis algorithm of the legacy analysis algorithm to the fluorescence data, and to display a comparison result of the legacy analysis data and the update analysis data on the display unit.