Transform Orchestrator for Genomic Biomarker Processing
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Solution Overview
Problem
Current systems for precision medicine are cumbersome and inefficient in coordinating diagnostic laboratory tests and data management, particularly as they become more complex and handle larger amounts of diverse diagnostic data.
Innovation Solution
A transform system that applies instructions to biological data to generate genomic biomarkers, utilizing a cloud computing platform to execute these transformations and communicate operational status, facilitating efficient data processing and biomarker determination across various disease states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If precision medicine systems become more complex and handle greater amounts of diagnostic data, then the capability to perform comprehensive biomarker detection is improved, but the coordination efficiency between diagnostic laboratories and precision medicine systems deteriorates
Solution Approach 1:
The patent introduces a transform system as an intermediary layer between diagnostic laboratories and precision medicine systems. This transform system receives diagnostic data from laboratories, applies transforms to generate biomarkers, and delivers results to precision medicine systems. This intermediary architecture decouples the coordination requirements, allowing comprehensive biomarker detection capability to scale independently while maintaining efficient data flow through standardized transform interfaces.
2Ease of manufacture
If current computer systems for intake of diagnostic data are used, then existing infrastructure is maintained, but the systems are cumbersome and inefficient in coordinating diagnostic laboratory tests and data management
Solution Approach 1:
The patent segments the data processing workflow into distinct functional components: diagnostic data intake from laboratories, transform application for biomarker generation, and result delivery to precision medicine systems. This segmentation allows each component to be optimized independently, maintaining compatibility with existing infrastructure while dramatically improving coordination efficiency through modular, well-defined interfaces between segments.
3Productivity
If transform system applies transform to biological data to generate genomic biomarkers, then biomarker determination efficiency is improved, but system complexity increases
Solution Approach 1:
The transform system is designed to be self-contained, receiving diagnostic data as input and automatically generating biomarkers through applied transforms without requiring complex external coordination. The system manages its own execution, data processing, and result delivery, which simplifies the overall architecture despite the computational complexity of biomarker generation. The self-service nature allows high productivity while containing system complexity within the transform boundaries.
Data Source
AI summary
The following relates generally to determining genomic biomarkers from biological data (e.g., a read of a nucleic acid, or an image, such as an image of a slide). In some embodiments, a transform orchestrator: (i) receives an order to transform biological data to one or more genomic biomarkers; (ii) selects a transform for deriving each of the received one or more genomic biomarkers; (iii) associates each selected transform with a cloud computing platform; (iv) executes instructions for each selected transform; (v) communicates an operational status of each selected transform; (vi) stores the genomic biomarker output from each selected transform; and (vii) provides a notification of a final operational status of each selected transform.